ICCV2021中時序動作檢測相關的文章一共有8篇，如下：

NUMTitleHas_codeTypeAnet1.3THUMOS14

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	-

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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

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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

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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

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Temporal Action Detection With Multi-Level Supervision
Link: http://arxiv.org/abs/2011.11893
Model Name: UFA
Code: https://github.com/bfshi/SSAD_OSAD （暫時沒有代碼）

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Enriching Local and Global Contexts for Temporal Action Localization
Link:http://arxiv.org/abs/2107.12960
Code: https://github.com/buxiangzhiren/ContextLoc

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Divide and Conquer for Single-Frame Temporal Action Localization
Link: PDF
Code: Empty

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

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