Datasets:
pwc-archive
/
links-between-paper-and-code

Dataset card Data Studio Files
xet
Community
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https://paperswithcode.com/paper/feyngame
FeynGame
2003.00896
http://arxiv.org/abs/2003.00896v1
http://arxiv.org/pdf/2003.00896v1.pdf
https://gitlab.com/feyngame/FeynGame
true
true
true
none
https://paperswithcode.com/paper/learning-user-interpretable-descriptions-of
Discovering User-Interpretable Capabilities of Black-Box Planning Agents
2107.13668
https://arxiv.org/abs/2107.13668v3
https://arxiv.org/pdf/2107.13668v3.pdf
https://github.com/aair-lab/capability-discovery
true
true
false
none
https://paperswithcode.com/paper/conformal-credal-self-supervised-learning
Conformal Credal Self-Supervised Learning
2205.15239
https://arxiv.org/abs/2205.15239v2
https://arxiv.org/pdf/2205.15239v2.pdf
https://github.com/julilien/c2s2l
true
true
false
pytorch
https://paperswithcode.com/paper/the-causal-news-corpus-annotating-causal
The Causal News Corpus: Annotating Causal Relations in Event Sentences from News
2204.11714
https://arxiv.org/abs/2204.11714v1
https://arxiv.org/pdf/2204.11714v1.pdf
https://github.com/tanfiona/causalnewscorpus
true
true
true
tf
https://paperswithcode.com/paper/inttower-the-next-generation-of-two-tower
IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System
2210.09890
https://arxiv.org/abs/2210.09890v1
https://arxiv.org/pdf/2210.09890v1.pdf
https://github.com/archersama/inttower
true
true
true
pytorch
https://paperswithcode.com/paper/neighbor2neighbor-self-supervised-denoising
Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images
2101.02824
https://arxiv.org/abs/2101.02824v3
https://arxiv.org/pdf/2101.02824v3.pdf
https://github.com/code-implementation1/Code6/tree/main/Neighbor2Neighbor
false
false
false
mindspore
https://paperswithcode.com/paper/quantified-reflection-calculus-with-one
Quantified Reflection Calculus with one modality
2003.13651
http://arxiv.org/abs/2003.13651v1
http://arxiv.org/pdf/2003.13651v1.pdf
https://gitlab.com/ana-borges/QRC1-Coq
false
false
true
none
https://paperswithcode.com/paper/replicate-or-relocate-non-uniform-access-in
NuPS: A Parameter Server for Machine Learning with Non-Uniform Parameter Access
2104.00501
https://arxiv.org/abs/2104.00501v3
https://arxiv.org/pdf/2104.00501v3.pdf
https://github.com/alexrenz/adaps
false
false
true
pytorch
https://paperswithcode.com/paper/optimal-and-adaptive-monteiro-svaiter
Optimal and Adaptive Monteiro-Svaiter Acceleration
2205.15371
https://arxiv.org/abs/2205.15371v2
https://arxiv.org/pdf/2205.15371v2.pdf
https://github.com/danielle-hausler/ms-optimal
true
true
true
none
https://paperswithcode.com/paper/good-intentions-adaptive-parameter-servers
Good Intentions: Adaptive Parameter Management via Intent Signaling
2206.00470
https://arxiv.org/abs/2206.00470v4
https://arxiv.org/pdf/2206.00470v4.pdf
https://github.com/alexrenz/adaps
true
true
true
pytorch
https://paperswithcode.com/paper/a-subterranean-virtual-cave-world-for-gazebo
A Subterranean Virtual Cave World for Gazebo based on the DARPA SubT Challenge
2004.08452
https://arxiv.org/abs/2004.08452v2
https://arxiv.org/pdf/2004.08452v2.pdf
https://github.com/ltu-rai/gazebo_cave_world
false
false
true
none
https://paperswithcode.com/paper/small-sample-hyperspectral-image
Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive Filtering
null
https://doi.org/10.3390/s23052499
https://www.mdpi.com/1424-8220/23/5/2499
https://github.com/UchaevD/RPNet-RF
true
false
false
none
https://paperswithcode.com/paper/circle-loss-a-unified-perspective-of-pair
Circle Loss: A Unified Perspective of Pair Similarity Optimization
2002.10857
https://arxiv.org/abs/2002.10857v2
https://arxiv.org/pdf/2002.10857v2.pdf
https://github.com/wujpbb7/caffe_circleloss
false
false
true
none
https://paperswithcode.com/paper/image-to-image-translation-with-conditional
Image-to-Image Translation with Conditional Adversarial Networks
1611.07004
http://arxiv.org/abs/1611.07004v3
http://arxiv.org/pdf/1611.07004v3.pdf
https://github.com/VedantDere0104/Pix2Pix_GAN
false
false
true
none
https://paperswithcode.com/paper/would-mega-scale-datasets-further-enhance
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?
2004.04968
https://arxiv.org/abs/2004.04968v1
https://arxiv.org/pdf/2004.04968v1.pdf
https://github.com/kaleab-k/VideoAT
false
false
true
pytorch
https://paperswithcode.com/paper/compositional-attention-disentangling-search-1
Compositional Attention: Disentangling Search and Retrieval
2110.09419
https://arxiv.org/abs/2110.09419v2
https://arxiv.org/pdf/2110.09419v2.pdf
https://github.com/Rishit-dagli/Compositional-Attention
false
false
true
tf
https://paperswithcode.com/paper/deep-residual-learning-for-image-recognition
Deep Residual Learning for Image Recognition
1512.03385
http://arxiv.org/abs/1512.03385v1
http://arxiv.org/pdf/1512.03385v1.pdf
https://github.com/alililia/ascend_SE-Net
false
false
true
mindspore
https://paperswithcode.com/paper/are-vision-transformers-more-data-hungry-than-1
Are Vision Transformers More Data Hungry Than Newborn Visual Systems?
2312.02843
https://arxiv.org/abs/2312.02843v1
https://arxiv.org/pdf/2312.02843v1.pdf
https://github.com/buildingamind/vit-cot
true
true
false
pytorch
https://paperswithcode.com/paper/iotvulcode-ai-enabled-vulnerability-detection
IoTvulCode: AI-enabled vulnerability detection in software products designed for IoT applications
null
https://link.springer.com/article/10.1007/s10207-024-00848-6
https://link.springer.com/content/pdf/10.1007/s10207-024-00848-6.pdf
https://github.com/SmartSecLab/IoTvulCode
false
true
false
tf
https://paperswithcode.com/paper/the-cosmological-simulation-code-scriptstyle
The cosmological simulation code $\scriptstyle{\rm CO}N{\rm CEPT}\, 1.0$
2112.01508
https://arxiv.org/abs/2112.01508v2
https://arxiv.org/pdf/2112.01508v2.pdf
https://github.com/jmd-dk/concept
true
true
true
none
https://paperswithcode.com/paper/argumentative-text-generation-in-economic
Argumentative Text Generation in Economic Domain
2206.09251
https://arxiv.org/abs/2206.09251v1
https://arxiv.org/pdf/2206.09251v1.pdf
https://github.com/kotelnikov-ev/economic_argument_generation
true
true
false
none
https://paperswithcode.com/paper/simulation-platform-for-pattern-recognition
Simulation platform for pattern recognition based on reservoir computing with memristor networks
2112.00248
https://arxiv.org/abs/2112.00248v2
https://arxiv.org/pdf/2112.00248v2.pdf
https://github.com/GTANAKA-LAB/Memristor-Network-Reservoir
true
false
false
none
https://paperswithcode.com/paper/sequential-estimation-of-quantiles-with
Sequential estimation of quantiles with applications to A/B-testing and best-arm identification
1906.09712
https://arxiv.org/abs/1906.09712v5
https://arxiv.org/pdf/1906.09712v5.pdf
https://github.com/WLM1ke/poptimizer
false
false
true
pytorch
https://paperswithcode.com/paper/the-gpt-writingprompts-dataset-a-comparative
The GPT-WritingPrompts Dataset: A Comparative Analysis of Character Portrayal in Short Stories
2406.16767
https://arxiv.org/abs/2406.16767v2
https://arxiv.org/pdf/2406.16767v2.pdf
https://github.com/kristinhuangg/gpt-writing-prompts
true
true
false
none
https://paperswithcode.com/paper/constructing-prediction-intervals-with-neural
Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods
2210.05354
https://arxiv.org/abs/2210.05354v1
https://arxiv.org/pdf/2210.05354v1.pdf
https://github.com/alexcontarino/constructing-prediction-intervals-for-neural-networks
true
true
false
none
https://paperswithcode.com/paper/unified-streaming-and-non-streaming-two-pass
Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition
2012.05481
https://arxiv.org/abs/2012.05481v2
https://arxiv.org/pdf/2012.05481v2.pdf
https://github.com/xianchao-wu/wenet-deep-sparse-conformer
false
false
true
pytorch
https://paperswithcode.com/paper/test-case-prioritization-using-test-case
Test case prioritization using test case diversification and fault-proneness estimations
2106.10524
https://arxiv.org/abs/2106.10524v3
https://arxiv.org/pdf/2106.10524v3.pdf
https://github.com/mostafamahdieh/ClusteringFaultPronenessTCP
true
true
true
none
https://paperswithcode.com/paper/hierarchical-nucleation-in-deep-neural
Hierarchical nucleation in deep neural networks
2007.03506
https://arxiv.org/abs/2007.03506v2
https://arxiv.org/pdf/2007.03506v2.pdf
https://github.com/diegodoimo/hierarchical_nucleation
true
false
true
none
https://paperswithcode.com/paper/enhancing-few-shot-class-incremental-learning
Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration
null
http://openaccess.thecvf.com//content/CVPR2025/html/Chen_Enhancing_Few-Shot_Class-Incremental_Learning_via_Training-Free_Bi-Level_Modality_Calibration_CVPR_2025_paper.html
http://openaccess.thecvf.com//content/CVPR2025/papers/Chen_Enhancing_Few-Shot_Class-Incremental_Learning_via_Training-Free_Bi-Level_Modality_Calibration_CVPR_2025_paper.pdf
https://github.com/yychen016/bimc
true
true
false
pytorch
https://paperswithcode.com/paper/treating-motion-as-option-to-reduce-motion
Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation
2209.03138
https://arxiv.org/abs/2209.03138v5
https://arxiv.org/pdf/2209.03138v5.pdf
https://github.com/ahasan-haque/TMO-RAFT
false
false
true
pytorch
https://paperswithcode.com/paper/some-results-on-k-critical-p-5-free-graphs
Some Results on $k$-Critical $P_5$-Free Graphs
2108.05492
https://arxiv.org/abs/2108.05492v1
https://arxiv.org/pdf/2108.05492v1.pdf
https://github.com/benrkcameron/P5gemfree_critical
false
false
true
none
https://paperswithcode.com/paper/namedentityrangers-at-semeval-2022-task-11
NamedEntityRangers at SemEval-2022 Task 11: Transformer-based Approaches for Multilingual Complex Named Entity Recognition
null
https://aclanthology.org/2022.semeval-1.216
https://aclanthology.org/2022.semeval-1.216.pdf
https://github.com/abiks/multiconer
true
true
false
none
https://paperswithcode.com/paper/private-adaptive-optimization-with-side
Private Adaptive Optimization with Side Information
2202.05963
https://arxiv.org/abs/2202.05963v2
https://arxiv.org/pdf/2202.05963v2.pdf
https://github.com/litian96/adadps
true
true
true
pytorch
https://paperswithcode.com/paper/aida-upm-at-semeval-2022-task-5-exploring
AIDA-UPM at SemEval-2022 Task 5: Exploring Multimodal Late Information Fusion for Multimedia Automatic Misogyny Identification
null
https://aclanthology.org/2022.semeval-1.107
https://aclanthology.org/2022.semeval-1.107.pdf
https://github.com/aida-upm/aida-upm-semeval-2022-task-5-mami-
true
true
false
none
https://paperswithcode.com/paper/dfsz-type-axions-and-where-to-find-them
DFSZ-Type Axions and Where to Find Them
2302.04667
https://arxiv.org/abs/2302.04667v3
https://arxiv.org/pdf/2302.04667v3.pdf
https://github.com/jhbdiehl/dfszforest
true
true
false
none
https://paperswithcode.com/paper/attention-is-all-you-need
Attention Is All You Need
1706.03762
https://arxiv.org/abs/1706.03762v7
https://arxiv.org/pdf/1706.03762v7.pdf
https://github.com/alililia/ms_contrib/tree/main/ascend_transformer
false
false
false
mindspore
https://paperswithcode.com/paper/ma-net-a-multi-scale-attention-network-for
MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation
null
https://ieeexplore.ieee.org/document/9201310
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9201310
https://github.com/qubvel/segmentation_models.pytorch
false
false
false
pytorch
https://paperswithcode.com/paper/character-level-representations-improve-drs
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT
2011.04308
https://arxiv.org/abs/2011.04308v1
https://arxiv.org/pdf/2011.04308v1.pdf
https://github.com/shenminx/drs-parser
false
false
true
none
https://paperswithcode.com/paper/the-parallel-meaning-bank-towards-a
The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations
1702.03964
http://arxiv.org/abs/1702.03964v1
http://arxiv.org/pdf/1702.03964v1.pdf
https://github.com/shenminx/drs-parser
false
false
true
none
https://paperswithcode.com/paper/progressive-translation-improving-domain
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences
2305.09154
https://arxiv.org/abs/2305.09154v1
https://arxiv.org/pdf/2305.09154v1.pdf
https://github.com/chaojun-wang/progressive-translation
true
true
true
tf
https://paperswithcode.com/paper/spin-dependent-recombination-mechanisms-for
Spin-dependent recombination mechanisms for quintet bi-excitons generated through singlet fission
2302.04678
https://arxiv.org/abs/2302.04678v2
https://arxiv.org/pdf/2302.04678v2.pdf
https://github.com/yneter/ampodmr
true
true
false
none
https://paperswithcode.com/paper/avatarposer-articulated-full-body-pose
AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing
2207.13784
https://arxiv.org/abs/2207.13784v1
https://arxiv.org/pdf/2207.13784v1.pdf
https://github.com/eth-siplab/avatarposer
true
true
false
pytorch
https://paperswithcode.com/paper/ava-avd-audio-visual-speaker-diarization-in
AVA-AVD: Audio-Visual Speaker Diarization in the Wild
2111.14448
https://arxiv.org/abs/2111.14448v5
https://arxiv.org/pdf/2111.14448v5.pdf
https://github.com/showlab/ava-avd
true
true
true
pytorch
https://paperswithcode.com/paper/avf-mae-scaling-affective-video-facial-masked
AVF-MAE++: Scaling Affective Video Facial Masked Autoencoders via Efficient Audio-Visual Self-Supervised Learning
null
http://openaccess.thecvf.com//content/CVPR2025/html/Wu_AVF-MAE_Scaling_Affective_Video_Facial_Masked_Autoencoders_via_Efficient_Audio-Visual_CVPR_2025_paper.html
http://openaccess.thecvf.com//content/CVPR2025/papers/Wu_AVF-MAE_Scaling_Affective_Video_Facial_Masked_Autoencoders_via_Efficient_Audio-Visual_CVPR_2025_paper.pdf
https://github.com/xuecwu/avf-mae
true
true
false
pytorch
https://paperswithcode.com/paper/towards-hard-positive-query-mining-for-detr
Towards Hard-Positive Query Mining for DETR-based Human-Object Interaction Detection
2207.05293
https://arxiv.org/abs/2207.05293v1
https://arxiv.org/pdf/2207.05293v1.pdf
https://github.com/muchhair/hqm
true
true
true
pytorch
https://paperswithcode.com/paper/vision-xformers-efficient-attention-for-image
Vision Xformers: Efficient Attention for Image Classification
2107.02239
https://arxiv.org/abs/2107.02239v4
https://arxiv.org/pdf/2107.02239v4.pdf
https://github.com/pranavphoenix/VisionXformer
false
false
true
pytorch
https://paperswithcode.com/paper/colonformer-an-efficient-transformer-based
ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation
2205.08473
https://arxiv.org/abs/2205.08473v3
https://arxiv.org/pdf/2205.08473v3.pdf
https://github.com/ducnt9907/ColonFormer
true
false
false
pytorch
https://paperswithcode.com/paper/dataset-for-analyzing-various-gaze-zones-and
Synthetic Distracted Driving (SynDD2) dataset for analyzing distracted behaviors and various gaze zones of a driver
2204.08096
https://arxiv.org/abs/2204.08096v3
https://arxiv.org/pdf/2204.08096v3.pdf
https://github.com/Shahad24/AICITY2022_Track3_Team95
false
false
true
pytorch
https://paperswithcode.com/paper/improved-churn-causal-analysis-through
Improved Churn Causal Analysis Through Restrained High‑Dimensional Feature Space Efects in Financial Institutions
null
https://link.springer.com/article/10.1007/s44230-022-00006-y
https://link.springer.com/content/pdf/10.1007/s44230-022-00006-y.pdf
https://github.com/DavidHason/CausalAnalysis
false
false
false
tf
https://paperswithcode.com/paper/benchmarking-omni-vision-representation
Benchmarking Omni-Vision Representation through the Lens of Visual Realms
2207.07106
https://arxiv.org/abs/2207.07106v2
https://arxiv.org/pdf/2207.07106v2.pdf
https://github.com/ZhangYuanhan-AI/OmniBenchmark
true
false
true
pytorch
https://paperswithcode.com/paper/cross-age-speaker-verification-learning-age
Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings
2207.05929
https://arxiv.org/abs/2207.05929v1
https://arxiv.org/pdf/2207.05929v1.pdf
https://github.com/qinxiaoyi/cross-age_speaker_verification
true
true
true
none
https://paperswithcode.com/paper/edgar-an-autonomous-driving-research-platform
EDGAR: An Autonomous Driving Research Platform -- From Feature Development to Real-World Application
2309.15492
https://arxiv.org/abs/2309.15492v2
https://arxiv.org/pdf/2309.15492v2.pdf
https://github.com/tumftm/edgar_digital_twin
true
true
false
none
https://paperswithcode.com/paper/ultra-fast-deep-lane-detection-with-hybrid
Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification
2206.07389
https://arxiv.org/abs/2206.07389v1
https://arxiv.org/pdf/2206.07389v1.pdf
https://github.com/cfzd/ultra-fast-lane-detection-v2
true
true
true
pytorch
https://paperswithcode.com/paper/deepjoin-learning-a-joint-occupancy-signed
DeepJoin: Learning a Joint Occupancy, Signed Distance, and Normal Field Function for Shape Repair
2211.12400
https://arxiv.org/abs/2211.12400v1
https://arxiv.org/pdf/2211.12400v1.pdf
https://github.com/terascale-all-sensing-research-studio/deepjoin
true
true
true
pytorch
https://paperswithcode.com/paper/pytorch-image-quality-metrics-for-image
PyTorch Image Quality: Metrics for Image Quality Assessment
2208.14818
https://arxiv.org/abs/2208.14818v1
https://arxiv.org/pdf/2208.14818v1.pdf
https://github.com/danjacobellis/mpq
false
false
true
pytorch
https://paperswithcode.com/paper/detection-friendly-nonuniformity-correction-a-1
Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAV Target Detection
null
http://openaccess.thecvf.com//content/CVPR2025/html/Fang_Detection-Friendly_Nonuniformity_Correction_A_Union_Framework_for_Infrared_UAV_Target_CVPR_2025_paper.html
http://openaccess.thecvf.com//content/CVPR2025/papers/Fang_Detection-Friendly_Nonuniformity_Correction_A_Union_Framework_for_Infrared_UAV_Target_CVPR_2025_paper.pdf
https://github.com/IVPLaboratory/UniCD
true
true
false
none
https://paperswithcode.com/paper/no-word-embedding-model-is-perfect-evaluating
No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media
2211.03634
https://arxiv.org/abs/2211.03634v1
https://arxiv.org/pdf/2211.03634v1.pdf
https://github.com/webis-de/emnlp-22
true
true
false
none
https://paperswithcode.com/paper/weakly-supervised-mesh-convolutional-hand
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
2004.01946
https://arxiv.org/abs/2004.01946v1
https://arxiv.org/pdf/2004.01946v1.pdf
https://github.com/EAST-J/Youtubehand
false
false
true
pytorch
https://paperswithcode.com/paper/comparing-apples-with-apples-robust-detection
Comparing Apples with Apples: Robust Detection Limits for Exoplanet High-Contrast Imaging in the Presence of non-Gaussian Noise
2303.12030
https://arxiv.org/abs/2303.12030v1
https://arxiv.org/pdf/2303.12030v1.pdf
https://github.com/markusbonse/applefy
true
true
false
none
https://paperswithcode.com/paper/towards-long-form-video-understanding-1
Towards Long-Form Video Understanding
2106.11310
https://arxiv.org/abs/2106.11310v1
https://arxiv.org/pdf/2106.11310v1.pdf
https://github.com/md-mohaiminul/ViS4mer
false
false
true
pytorch
https://paperswithcode.com/paper/quantum-dynamics-using-path-integral-coarse
Quantum dynamics using path integral coarse-graining
2208.06205
https://arxiv.org/abs/2208.06205v2
https://arxiv.org/pdf/2208.06205v2.pdf
https://github.com/venkatkapil24/pigs-methodology
true
false
false
none
https://paperswithcode.com/paper/a-scalable-test-problem-generator-for
A Scalable Test Problem Generator for Sequential Transfer Optimization
2304.08503
https://arxiv.org/abs/2304.08503v4
https://arxiv.org/pdf/2304.08503v4.pdf
https://github.com/xminghsueh/stop
true
true
false
none
https://paperswithcode.com/paper/a-dictionary-based-study-of-word-sense
A Dictionary-Based Study of Word Sense Difficulty
null
https://aclanthology.org/2022.readi-1.3
https://aclanthology.org/2022.readi-1.3.pdf
https://github.com/daalft/dicomplex
true
true
false
none
https://paperswithcode.com/paper/deformable-detr-deformable-transformers-for-1
Deformable DETR: Deformable Transformers for End-to-End Object Detection
2010.04159
https://arxiv.org/abs/2010.04159v4
https://arxiv.org/pdf/2010.04159v4.pdf
https://github.com/haoy945/demf
false
false
true
pytorch
https://paperswithcode.com/paper/omni3d-a-large-benchmark-and-model-for-3d
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
2207.10660
https://arxiv.org/abs/2207.10660v2
https://arxiv.org/pdf/2207.10660v2.pdf
https://github.com/facebookresearch/omni3d
true
true
true
pytorch
https://paperswithcode.com/paper/neural-architecture-search-for-spiking-neural
Neural Architecture Search for Spiking Neural Networks
2201.10355
https://arxiv.org/abs/2201.10355v3
https://arxiv.org/pdf/2201.10355v3.pdf
https://github.com/intelligent-computing-lab-yale/neural-architecture-search-for-spiking-neural-networks
true
true
true
pytorch
https://paperswithcode.com/paper/long-movie-clip-classification-with-state
Long Movie Clip Classification with State-Space Video Models
2204.01692
https://arxiv.org/abs/2204.01692v3
https://arxiv.org/pdf/2204.01692v3.pdf
https://github.com/md-mohaiminul/ViS4mer
true
true
true
pytorch
https://paperswithcode.com/paper/grounding-visual-representations-with-texts
Grounding Visual Representations with Texts for Domain Generalization
2207.10285
https://arxiv.org/abs/2207.10285v2
https://arxiv.org/pdf/2207.10285v2.pdf
https://github.com/mswzeus/gvrt
true
true
true
pytorch
https://paperswithcode.com/paper/boosting-3d-object-detection-via-object
Boosting 3D Object Detection via Object-Focused Image Fusion
2207.10589
https://arxiv.org/abs/2207.10589v1
https://arxiv.org/pdf/2207.10589v1.pdf
https://github.com/haoy945/demf
true
true
true
pytorch
https://paperswithcode.com/paper/jperceiver-joint-perception-network-for-depth
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes
2207.07895
https://arxiv.org/abs/2207.07895v1
https://arxiv.org/pdf/2207.07895v1.pdf
https://github.com/sunnyhelen/jperceiver
true
true
true
pytorch
https://paperswithcode.com/paper/ra-depth-resolution-adaptive-self-supervised
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation
2207.11984
https://arxiv.org/abs/2207.11984v2
https://arxiv.org/pdf/2207.11984v2.pdf
https://github.com/hmhemu/ra-depth
true
true
true
pytorch
https://paperswithcode.com/paper/developing-optimal-causal-cyber-defence
Developing Optimal Causal Cyber-Defence Agents via Cyber Security Simulation
2207.12355
https://arxiv.org/abs/2207.12355v2
https://arxiv.org/pdf/2207.12355v2.pdf
https://github.com/dstl/yawning-titan
true
true
false
tf
https://paperswithcode.com/paper/denoising-diffusion-probabilistic-models
Denoising Diffusion Probabilistic Models
2006.11239
https://arxiv.org/abs/2006.11239v2
https://arxiv.org/pdf/2006.11239v2.pdf
https://github.com/mszpc/denoising-diffusion-mindspore
false
false
false
mindspore
https://paperswithcode.com/paper/latent-topology-induction-for-understanding
Latent Topology Induction for Understanding Contextualized Representations
2206.01512
https://arxiv.org/abs/2206.01512v1
https://arxiv.org/pdf/2206.01512v1.pdf
https://github.com/franxyao/rdp
false
false
true
pytorch
https://paperswithcode.com/paper/exploring-adversarial-examples-and
Exploring Adversarial Examples and Adversarial Robustness of Convolutional Neural Networks by Mutual Information
2207.05756
https://arxiv.org/abs/2207.05756v2
https://arxiv.org/pdf/2207.05756v2.pdf
https://github.com/wowotou1998/exploring-adv-by-mutual-info
true
true
true
pytorch
https://paperswithcode.com/paper/scaling-structured-inference-with
Scaling Structured Inference with Randomization
2112.03638
https://arxiv.org/abs/2112.03638v3
https://arxiv.org/pdf/2112.03638v3.pdf
https://github.com/franxyao/rdp
true
true
true
pytorch
https://paperswithcode.com/paper/clustering-performance-analysis-using-new
Clustering performance analysis using a new correlation-based cluster validity index
2109.11172
https://arxiv.org/abs/2109.11172v2
https://arxiv.org/pdf/2109.11172v2.pdf
https://github.com/nwiroonsri/ncvalid
true
true
true
none
https://paperswithcode.com/paper/optimizing-image-compression-via-joint
Optimizing Image Compression via Joint Learning with Denoising
2207.10869
https://arxiv.org/abs/2207.10869v1
https://arxiv.org/pdf/2207.10869v1.pdf
https://github.com/felixcheng97/denoisecompression
true
true
true
pytorch
https://paperswithcode.com/paper/wasserstein-gan
Wasserstein GAN
1701.07875
http://arxiv.org/abs/1701.07875v3
http://arxiv.org/pdf/1701.07875v3.pdf
https://github.com/MasoumehVahedi/GANs-Model
false
false
true
pytorch
https://paperswithcode.com/paper/conditional-generative-adversarial-nets
Conditional Generative Adversarial Nets
1411.1784
https://arxiv.org/abs/1411.1784v1
https://arxiv.org/pdf/1411.1784v1.pdf
https://github.com/MasoumehVahedi/GANs-Model
false
false
true
pytorch
https://paperswithcode.com/paper/seamlessm4t-massively-multilingual-multimodal
SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
2308.11596
https://arxiv.org/abs/2308.11596v3
https://arxiv.org/pdf/2308.11596v3.pdf
https://github.com/facebookresearch/sonar
false
true
false
pytorch
https://paperswithcode.com/paper/an-efficient-two-stream-network-for-isolated
An Efficient Two-Stream Network for Isolated Sign Language Recognition Using Accumulative Video Motion
null
https://ieeexplore.ieee.org/abstract/document/9875269
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9875269
https://github.com/Hamzah-Luqman/SLR_AMN
false
true
false
tf
https://paperswithcode.com/paper/automatic-verb-classifier-for-abui-avc-abz
Automatic Verb Classifier for Abui (AVC-abz)
null
https://aclanthology.org/2022.eurali-1.7
https://aclanthology.org/2022.eurali-1.7.pdf
https://github.com/fanacek/avc-abz
true
true
false
none
https://paperswithcode.com/paper/text-guided-synthesis-of-artistic-images-with
Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models
2207.13038
https://arxiv.org/abs/2207.13038v1
https://arxiv.org/pdf/2207.13038v1.pdf
https://github.com/compvis/latent-diffusion
true
true
false
pytorch
https://paperswithcode.com/paper/learning-domain-adaptive-object-detection
Learning Domain Adaptive Object Detection with Probabilistic Teacher
2206.06293
https://arxiv.org/abs/2206.06293v1
https://arxiv.org/pdf/2206.06293v1.pdf
https://github.com/hikvision-research/probabilisticteacher
true
true
true
pytorch
https://paperswithcode.com/paper/conformal-prediction-set-for-time-series
Conformal prediction set for time-series
2206.07851
https://arxiv.org/abs/2206.07851v1
https://arxiv.org/pdf/2206.07851v1.pdf
https://github.com/hamrel-cxu/EnbPI
false
false
true
pytorch
https://paperswithcode.com/paper/rfla-gaussian-receptive-field-based-label
RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection
2208.08738
https://arxiv.org/abs/2208.08738v2
https://arxiv.org/pdf/2208.08738v2.pdf
https://github.com/chasel-tsui/mmdet-rfla
true
true
true
pytorch
https://paperswithcode.com/paper/bounding-stochastic-safety-leveraging
Bounding Stochastic Safety: Leveraging Freedman's Inequality with Discrete-Time Control Barrier Functions
2403.05745
https://arxiv.org/abs/2403.05745v5
https://arxiv.org/pdf/2403.05745v5.pdf
https://github.com/rkcosner/freedman
true
true
false
none
https://paperswithcode.com/paper/decomposed-knowledge-distillation-for-class
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation
2210.05941
https://arxiv.org/abs/2210.05941v1
https://arxiv.org/pdf/2210.05941v1.pdf
https://github.com/cvlab-yonsei/dkd
false
false
true
pytorch
https://paperswithcode.com/paper/an-empirical-evaluation-of-temporal-graph
An Empirical Evaluation of Temporal Graph Benchmark
2307.12510
https://arxiv.org/abs/2307.12510v5
https://arxiv.org/pdf/2307.12510v5.pdf
https://github.com/yule-BUAA/DyGLib_TGB
true
true
true
pytorch
https://paperswithcode.com/paper/icolorit-towards-propagating-local-hint-to
iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by Leveraging Vision Transformer
2207.06831
https://arxiv.org/abs/2207.06831v4
https://arxiv.org/pdf/2207.06831v4.pdf
https://github.com/pmh9960/iColoriT
true
false
true
pytorch
https://paperswithcode.com/paper/fitting-summary-statistics-of-neural-data
Fitting summary statistics of neural data with a differentiable spiking network simulator
2106.10064
https://arxiv.org/abs/2106.10064v2
https://arxiv.org/pdf/2106.10064v2.pdf
https://github.com/epfl-lcn/pub-bellec-wang-2021-sample-and-measure
true
true
true
tf
https://paperswithcode.com/paper/classical-quantum-combs-their-min-entropy-and
The Min-Entropy of Classical-Quantum Combs for Measurement-Based Applications
2212.00553
https://arxiv.org/abs/2212.00553v3
https://arxiv.org/pdf/2212.00553v3.pdf
https://github.com/isaacdsmith/min-entropy_and_mbqc
true
true
true
none
https://paperswithcode.com/paper/simultaneous-multiple-object-detection-and
Simultaneous Multiple Object Detection and Pose Estimation using 3D Model Infusion with Monocular Vision
2211.11188
https://arxiv.org/abs/2211.11188v3
https://arxiv.org/pdf/2211.11188v3.pdf
https://github.com/CongliangLi/LabelImg3D
true
false
false
none
https://paperswithcode.com/paper/nnood-a-framework-for-benchmarking-self
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods
2209.01124
https://arxiv.org/abs/2209.01124v1
https://arxiv.org/pdf/2209.01124v1.pdf
https://github.com/matt-baugh/nnood
true
true
false
pytorch
https://paperswithcode.com/paper/self-supervised-out-of-distribution-detection-1
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
2109.15222
https://arxiv.org/abs/2109.15222v3
https://arxiv.org/pdf/2109.15222v3.pdf
https://github.com/matt-baugh/nnood
false
false
true
pytorch
https://paperswithcode.com/paper/exploiting-class-activation-value-for-partial
Exploiting Class Activation Value for Partial-Label Learning
null
https://openreview.net/forum?id=qqdXHUGec9h
https://openreview.net/pdf?id=qqdXHUGec9h
https://github.com/Shuijing2018/CAVL_Mindspore
false
false
false
mindspore
https://paperswithcode.com/paper/elte-poetry-corpus-a-machine-annotated
ELTE Poetry Corpus: A Machine Annotated Database of Canonical Hungarian Poetry
null
https://aclanthology.org/2022.lrec-1.372
https://aclanthology.org/2022.lrec-1.372.pdf
https://github.com/elte-dh/poetry-corpus
true
true
false
none
https://paperswithcode.com/paper/what-matters-in-unsupervised-optical-flow
What Matters in Unsupervised Optical Flow
2006.04902
https://arxiv.org/abs/2006.04902v2
https://arxiv.org/pdf/2006.04902v2.pdf
https://github.com/2023-MindSpore-1/ms-code-36
false
false
false
mindspore
https://paperswithcode.com/paper/domfn-a-divergence-orientated-multi-modal
DOMFN: A Divergence-Orientated Multi-Modal Fusion Network for Resume Assessment
null
https://dl.acm.org/doi/abs/10.1145/3503161.3548203
https://dl.acm.org/doi/pdf/10.1145/3503161.3548203
https://github.com/lyqcom/MM22_DOMFN
false
false
false
mindspore