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Overview

  • Number of checkpoints: 220

  • Number of configs: 198

  • Number of papers: 26

    • ALGORITHM: 22

    • BACKBONE: 1

    • DATASET: 2

    • OTHERS: 1

For supported datasets, see datasets overview.

Spatio Temporal Action Detection Models

  • Number of checkpoints: 22

  • Number of configs: 22

  • Number of papers: 3

    • [ALGORITHM] Ava: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions (-> -> ->)

    • [ALGORITHM] Slowfast Networks for Video Recognition (->)

    • [DATASET] Ava: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions (-> -> ->)

Action Localization Models

  • Number of checkpoints: 7

  • Number of configs: 3

  • Number of papers: 4

    • [ALGORITHM] Bmn: Boundary-Matching Network for Temporal Action Proposal Generation (->)

    • [ALGORITHM] Bsn: Boundary Sensitive Network for Temporal Action Proposal Generation (->)

    • [ALGORITHM] Temporal Action Detection With Structured Segment Networks (->)

    • [DATASET] Cuhk & Ethz & Siat Submission to Activitynet Challenge 2017 (->)

Action Recognition Models

  • Number of checkpoints: 175

  • Number of configs: 157

  • Number of papers: 17

    • [ALGORITHM] A Closer Look at Spatiotemporal Convolutions for Action Recognition (->)

    • [ALGORITHM] Audiovisual Slowfast Networks for Video Recognition (->)

    • [ALGORITHM] Is Space-Time Attention All You Need for Video Understanding? (->)

    • [ALGORITHM] Learning Spatiotemporal Features With 3d Convolutional Networks (->)

    • [ALGORITHM] Omni-Sourced Webly-Supervised Learning for Video Recognition (->)

    • [ALGORITHM] Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset (->)

    • [ALGORITHM] Slowfast Networks for Video Recognition (-> ->)

    • [ALGORITHM] Tam: Temporal Adaptive Module for Video Recognition (->)

    • [ALGORITHM] Temporal Interlacing Network (->)

    • [ALGORITHM] Temporal Pyramid Network for Action Recognition (->)

    • [ALGORITHM] Temporal Relational Reasoning in Videos (->)

    • [ALGORITHM] Temporal Segment Networks: Towards Good Practices for Deep Action Recognition (->)

    • [ALGORITHM] Tsm: Temporal Shift Module for Efficient Video Understanding (->)

    • [ALGORITHM] Video Classification With Channel-Separated Convolutional Networks (->)

    • [ALGORITHM] X3d: Expanding Architectures for Efficient Video Recognition (->)

    • [BACKBONE] Non-Local Neural Networks (-> ->)

    • [OTHERS] Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition (->)

Skeleton-based Action Recognition Models

  • Number of checkpoints: 16

  • Number of configs: 16

  • Number of papers: 3

    • [ALGORITHM] Revisiting Skeleton-Based Action Recognition (->)

    • [ALGORITHM] Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition (->)

    • [ALGORITHM] Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition (->)

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