论文阅读笔记:“行为识别论文总结-续”
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Paper Reading Reflections on Group Action Recognition

What is GAR?

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A Hierarchical Deep Temporal Model for Group Activity Recognition(cvpr 2016)

Detecting events and key actors in multi-person videos(cvpr 2016)

Hierarchical Relational Networks for Group Activity Recognition and Retrieval(ECCV 2018)

Learning Actor Relation Graphs for Group Activity Recognition(2019)

Convolutional Relational Machine for Group Activity Recognition (CVPR 2019)

HiGCIN: Hierarchical Graph-based Cross Inference Network for Group Activity Recognition(TPAMI 2020)

Social Adaptive Module for Weakly-supervised Group Activity Recognition(eccv 2020)

Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos(eccv 2020)

Progressive Relation Learning for Group Activity Recognition(cvpr2020)

Actor-Transformers for Group Activity Recognition(cvpr2020)

GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer(ICCV 2021)

Spatio-Temporal Dynamic Inference Network for Group Activity Recognition(iccv 2021)

Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition(cvpr 2022)

  • Post title:论文阅读笔记:“行为识别论文总结-续”
  • Post author:sixwalter
  • Create time:2023-08-05 11:14:26
  • Post link:https://coelien.github.io/2023/08/05/paper-reading/paper_reading_conclusion_02/
  • Copyright Notice:All articles in this blog are licensed under BY-NC-SA unless stating additionally.
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