Overview

  • Number of checkpoints: 161

  • Number of configs: 127

  • Number of papers: 22

    • ALGORITHM: 18

    • BACKBONE: 1

    • DATASET: 2

    • OTHERS: 1

For supported datasets, see datasets overview.

Spatio Temporal Action Detection Models

  • Number of checkpoints: 15

  • Number of configs: 17

  • Number of papers: 4

    • [ALGORITHM] Long-Term Feature Banks for Detailed Video Understanding (⇨)

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

    • [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: 139

  • Number of configs: 107

  • Number of papers: 16

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

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

    • [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 (⇨)