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ICCV2021中的时序动作检测算法

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ICCV2021中的时序动作检测算法ICCV2021 中时序动作检测相关的文章一共有 8 篇 如下 NUM Title Has code Type Anet1 3 THUMOS14 1 Foreground Action Consistency Network for Weakly Supervised Temporal Action Localization True

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ICCV2021中时序动作检测相关的文章一共有8篇，如下：

NUM Title Has_code Type Anet1.3 THUMOS14
1 Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization True Weakly-Supervised 24.0 42.2
2 Learning Action Completeness From Points for Weakly-Supervised Temporal Action Localization True Weakly-Supervised 25.1 44.5
3 Video Self-Stitching Graph Network for Temporal Action Localization True Supervised 34.68 56.6
4 Temporal Action Detection With Multi-Level Supervision False - -
5 Enriching Local and Global Contexts for Temporal Action Localization True Supervised 34.23 -
6 Divide and Conquer for Single-Frame Temporal Action Localization False Weakly-Supervised - 44.34
7 CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization False - -
8 Relaxed Transformer Decoders for Direct Action Proposal Generation True Supervised 30.83 -
  1. Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization
    Link: http://arxiv.org/abs/2108.06524
    Model Name: FAC-net
    Code: https://github.com/leonhlj/fac-net
    请添加图片描述
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  1. Learning Action Completeness From Points for Weakly-Supervised Temporal Action Localization
    Link: http://arxiv.org/abs/2108.05029
    Code: https://github.com/Pilhyeon/Learning-Action-Completeness-from-Points
    请添加图片描述
  1. Video Self-Stitching Graph Network for Temporal Action Localization
    Link: http://arxiv.org/abs/2011.14598
    Model Name: VSGN
    Code: https://github.com/coolbay/VSGN
    请添加图片描述
  1. Temporal Action Detection With Multi-Level Supervision
    Link: http://arxiv.org/abs/2011.11893
    Model Name: UFA
    Code: https://github.com/bfshi/SSAD_OSAD （暂时没有代码）
    请添加图片描述
  1. Enriching Local and Global Contexts for Temporal Action Localization
    Link:http://arxiv.org/abs/2107.12960
    Code: https://github.com/buxiangzhiren/ContextLoc
    请添加图片描述
  1. Divide and Conquer for Single-Frame Temporal Action Localization
    Link: PDF
    Code: Empty

请添加图片描述

  1. CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization
    Link: PDF
    Code: Empty

请添加图片描述

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