Papers with Code 아카이브
Activity Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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.
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https://github.com/STAIR-Lab-CIT/STAIR-actions
https://github.com/SY-Xuan/pointnet_paddle
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/SaubanMusaddiq/Conditional-Gans
https://github.com/SaubanMusaddiq/Conditional-Image-Synthesis-using-DCGANS
https://github.com/SaubanMusaddiq/GAN-playground
https://github.com/SforAiDl/CountCLIP
Learning Transferable Visual Models From Natural Language Supervision
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/ShaidaMuhammad/Mukhtasir-Khail-Net
https://github.com/ShiYaya/video-classification-3d-cnn-pytorch
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
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https://github.com/ShreyasArthur/AbnormalEventDetection
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SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos
https://github.com/Sinestro38/qosf-qgan
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https://github.com/SonbolYb/multivariate_timeseries_dilated_conv
Multivariate Time Series Classification using Dilated Convolutional Neural Network
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/SsnL/moco
https://github.com/SsnL/moco_align_uniform
https://github.com/StanfordVL/RubiksNet
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
https://github.com/StanfordVL/moma
https://github.com/StefOe/indrnn-pytorch
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
https://github.com/Stepphonwol/my_yowo
You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization
https://github.com/Subrata11/IoT-based-Real-time-Human-Motion-Recognition-Based-on-Skeletons-
https://github.com/Sun1992/SSTCN-for-SLR
https://github.com/SunDoge/efficientnet-pytorch
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/SunnyHaze/ManTraNet-Pytorch
https://github.com/Sunnydreamrain/IndRNN
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN
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