Papers with Code 아카이브
Activity Recognition
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Human Activity Recognition is the problem of identifying events performed by humans given a video input. It is formulated as a binary (or multiclass) classification problem of outputting activity class labels. Activity Recognition is an important problem with many societal applications including smart surveillance, video search/retrieval, intelligent robots, and other monitoring systems.
Source: Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/fluque1995/tfm-anomaly-detection
https://github.com/fmthoker/severe-benchmark
A Closer Look at Spatiotemporal Convolutions for Action Recognition
https://github.com/fongyk/graph-attention
https://github.com/francescoareoluci/tbr-event-object-detection
Temporal Binary Representation for Event-Based Action Recognition
https://github.com/frankaging/pyvene
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions
https://github.com/franknb/Self-attention-DCGAN
https://github.com/freddieee/pn_6d_single
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/frgfm/torch-cam
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
https://github.com/ftdlyc/pointnet_pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/ftorres11/saliencysense
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
https://github.com/fxia22/pointnet.pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/gabrielsantosrv/coco-caption
https://github.com/galkampel/HyperNetworks
https://github.com/gaoqianmiao/Summer-project
https://github.com/gauthamkrishna-g/ActiveHARNet
ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition
https://github.com/gayanku/FDGATII
https://github.com/gcucurull/jax-gat
https://github.com/gd-goblin/C-3PO_Motion_Retargeting_Module
https://github.com/gd-goblin/C-3PO_RobotControlModule
https://github.com/geekfeiw/ARIL
Joint Activity Recognition and Indoor Localization With WiFi Fingerprints
https://github.com/generation21/generation6011
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
https://github.com/gftww/B2C
https://github.com/giantseaweed/decree
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/ginkyenglee/Explaining_Decision_of_Time_Series_Data
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition
https://github.com/github-luffy/PFLD_68points_Pytorch
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/github-zbx/ST-GCN
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/gitzh-chen/rmlr
Riemannian Multinomial Logistics Regression for SPD Neural Networks
https://github.com/giuseppefutia/link-prediction-code
https://github.com/gmum/umwpl2021
https://github.com/gomezzz/MSMatch
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/gomezzz/distmsmatch
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/gongda0e/futr
https://github.com/google-deepmind/kinetics-i3d
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
https://github.com/google-research/google-research/tree/master/assemblenet
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures
https://github.com/google-research/google-research/tree/master/poem
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