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Temporal Action Localization

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하위 태스크: 8
평가표: 14
보존된 평가 기록: 125

Temporal Action Localization aims to detect activities in the video stream and output beginning and end timestamps. It is closely related to Temporal Action Proposal Generation.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/TyngJiunKuo/deep-learning-project

Graph Attention Networks

https://github.com/UKPLab/coling18-multimodalSurvey

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/VaanHUANG/CSCI5210HW1

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/Vakihito/SentimentYoutube

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/VivekUdupa/CPSC8810-DeepLearning_vkoodli_shonnah

Contextual Action Recognition with R*CNN

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

Graph Attention Networks

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/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

On human motion prediction using recurrent neural networks

https://github.com/YQRickWang/tf

On human motion prediction using recurrent neural networks

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

Graph Attention Networks

https://github.com/YiruS/pointnet_adversarial

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/Yonder-OSS/D3M-Primitives

Multivariate LSTM-FCNs for Time Series Classification

https://github.com/Young98CN/pointconv_pytorch

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

https://github.com/YunseobShin/wiki_GAT

Graph Attention Networks

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

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