Papers with Code 아카이브
Action Localization
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Action Localization is finding the spatial and temporal co ordinates for an action in a video. An action localization model will identify which frame an action start and ends in video and return the x,y coordinates of an action. Further the co ordinates will change when the object performing action undergoes a displacement.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Vivswan/ECE-3195-Course-Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/WangChen0902/BSN
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://github.com/WangYueFt/dgcnn
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/WantingZhao/my_GAT
https://github.com/WavesUR/embedded_TSM
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/Whiffe/Custom-ava-dataset_Custom-Spatio-Temporally-Action-Video-Dataset
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions
https://github.com/WoominM/DeGCN_pytorch
https://github.com/Wuxiao85/paddle_EfficientGCNv
Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition
https://github.com/XLearning-SCU/2024-ICLR-Norton
Multi-granularity Correspondence Learning from Long-term Noisy Videos
https://github.com/XinzeWu/st-GCN
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/Xnsam/clothing_classification
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/XuHao9166/TSN_BehaviorRecognition_ForwardCalculation
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/XuHao9166/TSN_BehaviorRecognition_GenerateTrainImages
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/YQRickWang/Motion_Prediction
https://github.com/YQRickWang/tf
https://github.com/YanWei123/PointNet-encoder-and-FoldingNet-decoder-add-quantization-change-latent-code-size-from-512-to-1024
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/YanWei123/Pointnet_encoder_Foldingnet_decoder_quantization
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/YanWei123/Pytorch-implementation-of-FoldingNet-encoder-and-decoder-with-graph-pooling-covariance-add-quanti
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Yang2446/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/YashNita/Separate-Object-Sounds-by-Watching-Unlabeled-Video-PyTorch-
Im2Flow: Motion Hallucination from Static Images for Action Recognition
https://github.com/Yashgh7076/CPSC-8810-Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/YiZhou-H/Trajectory-Mamba-CVPR
Trajectory Mamba: Efficient Attention-Mamba Forecasting Model Based on Selective SSM
https://github.com/Yindong-Zhang/myGAT
https://github.com/YiruS/pointnet_adversarial
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Yonder-OSS/D3M-Primitives
https://github.com/Young98CN/pointconv_pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/Yuhan-Shen/ProTAS
https://github.com/YunseobShin/wiki_GAT
https://github.com/Yuto0107/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/ZJCV/Non-local
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/ZJCV/TSN
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
https://github.com/ZJUT-ERCISS/zjut_mindvideo/blob/master/msvideo/models/i3d.py
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
https://github.com/ZJUT-ERCISS/zjut_mindvideo/blob/master/msvideo/models/r2plus1d.py
A Closer Look at Spatiotemporal Convolutions for Action Recognition
https://github.com/ZTao-z/multiflow-resnet-ssd
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ZacharyGoshen/cifar-10-classifier
Very Deep Convolutional Networks for Large-Scale Image Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.