开源软件名称（OpenSource Name）：

开源软件地址(OpenSource Url)：

开源编程语言(OpenSource Language)：

开源软件介绍(OpenSource Introduction)：

Action Localization Benchmarks

Papers and Results of Temporal Action Localization

Weakly Supervised Performance on THUMOS'14 dataset.

• The detectors are sorted by the mAP with threshold 0.5.
• "c" indicates whether release code, yes (Y) or no (N).
• "e" indicates the evaluation code, THUMOS (T), ActivityNet (A) or implemented by themselves.

Weakly Supervised Performance on ActivityNet v1.2 dataset.

Weakly Supervised Performance on ActivityNet v1.3 dataset.

Weakly Supervised Temporal Action Localization

• D2-Net: Sanath Narayan, Hisham Cholakkal, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao.
  "D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations" arXiv:2012.06440. [paper]
• Lee et al: Pilhyeon Lee, Jinglu Wang, Yan Lu, Hyeran Byun.
  "Weakly-supervised Temporal Action Localization by Uncertainty Modeling" AAAI 2021. [paper] [code]
• HAM-Net: Ashraful Islam, Chengjiang Long , Richard J. Radke.
  "A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization" AAAI 2021. [paper] [code]
• Liu et al.: Ziyi Liu, Le Wang, Qilin Zhang, Wei Tang, Junsong Yuan, Nanning Zheng, Gang Hua.
  "ACSNet : Action-Context Separation Network for Weakly Supervised Temporal Action Localization" AAAI 2021. [paper]
• Liu at al.: Ziyi Liu, Le Wang, Wei Tang, Junsong Yuan, Nanning Zheng, Gang Hua.
  "Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context" AAAI 2021. [paper]
• EM-MIL: Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu.
  "Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning" ECCV 2020. [paper]
• A2CL-PT: Kyle Min, Jason J. Corso.
  "Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization." ECCV 2020. [paper] [code]
• ACL: Guoqiang Gong, Xinghan Wang, Yadong Mu, Qi Tian.
  "Learning Temporal Co-Attention Models for Unsupervised Video Action Localization." CVPR 2020, oral. [paper]
• WSTALAshraful Islam, Richard J. Radke.
  "Weakly Supervised Temporal Action Localization Using Deep Metric Learning" WACV 2020. [paper] [code]
• ActoinBytes: Mihir Jain1, Amir Ghodrati, Cees G. M. Snoek.
  "ActionBytes: Learning from Trimmed Videos to Localize Actions." CVPR 2020. [paper]
• DGAM: Baifeng Shi, Qi Dai, Yadong Mu, Jingdong Wang.
  "Weakly-Supervised Action Localization by Generative Attention Modeling." CVPR 2020. [paper] [code]
• TSCN: Zhai, Yuanhao and Wang, Le and Tang, Wei and Zhang, Qilin and Yuan, Junsong and Hua, Gang.
  "Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization." ECCV 2020. [paper]
• BaSNet: Pilhyeon Lee, Youngjung Uh, Hyeran Byun.
  "Background Suppression Networks for Weakly-supervised Temporal Action Localization." AAAI 2020. [paper] [code]
• 3C-Net: Sanath Narayan, Hisham Cholakkal, Fahad Shabaz Khan, Ling Shao.
  "3C-Net : Category Count and Center Loss for Weakly-Supervised Action Localization." ICCV 2019. [paper] [code]
• CMCS: Daochang Liu, Tingting Jiang, Yizhou Wang.
  "Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization." CVPR 2019. [paper] [code]
• ASSG: Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng, Yi Niu, Shiliang, Pu Fei Wu, Futai Zou.
  "Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization" ACM MM 2019. [paper]
• **AutoLoc:**Zheng Shou, Hang Gao, Lei Zhang, KazuyukiMiyazawa, Shih-Fu Chang.
  "AutoLoc Weakly-supervised Temporal Action Localization in Untrimmed Videos"ECCV 2018. [paper] [code]
• **CPMN:**Haisheng Su, Xu Zhao, Tianwei Lin.
  "Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization"ACCV 2018. [paper]
• **H&S:**Krishna Kumar Singh, Yong Jae Lee.
  "Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization"ICCV 2017. [paper] [code]
• **LTSR:**Xiao-Yu Zhang, Haichao Shi, Changsheng Li, Kai Zheng, Xiaobin Zhu, Lixin Duan.
  "Learning Transferable Self-Attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision"AAAI 2019. [paper]
• **WSGN:**Basura Fernando, Cheston Tan Yin Chet.
  "Weakly Supervised Gaussian Networks for Action Detection" WACV(2020)
• **MAAN:**Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung.
  "MARGINALIZED AVERAGE ATTENTIONAL NETWORK FOR WEAKLY-SUPERVISED LEARNING"ICLR 2019. [paper] [code]
• **S-O-C:**Jia-Xing Zhong, Nannan Li, Weijie Kong, Tao Zhang, Thomas H. Li, Ge Li.
  " Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector"ACM MM 2018. [paper]
• **STARNet:**Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng, Jianwen Xie, Yi Niu, Shiliang Pu, Fei Wu.
  "Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection"AAAI 2019. [paper]
• **TSM:**Tan Yu, Zhou Ren, Yuncheng Li, Enxu Yan, Ning Xu, Junsong Yuan.
  "Temporal Structure Mining for Weakly Supervised Action Detection"ICCV(2019). [paper]
• **UntrimmedNets:**Limin Wang, Yuanjun Xiong, Dahua Lin, Luc Van Gool.
  "UntrimmedNets for Weakly Supervised Action Recognition and Detection"CVPR 2017. [paper] [code]
• **WSBM:**Phuc Xuan Nguyen, Deva Ramanan, Charless C. Fowlkes.
  "Weakly-supervised Action Localization with Background Modeling"ICCV 2019. [paper]
• **CleanNet:**Ziyi Liu, Le Wang1∗ Qilin Zhang, Zhanning Gao, Zhenxing Niu, Nanning Zheng, Gang Hua.
  "Weakly Supervised Temporal Action Localization through Contrast based Evaluation Networks"ICCV 2019. [paper]
• STPNPhuc Nguyen, Ting Liu, Gautam Prasad, Bohyung Han.
  "Weakly Supervised Action Localization by Sparse Temporal Pooling Network" CVPR 2018. [paper] [code]
• W-TALCSujoy Paul, Sourya Roy, Amit K Roy-Chowdhury.
  "W-TALC: Weakly-supervised Temporal Activity Localization and Classification" ECCV 2018. [paper] [code]
• LPATXudong, Lin Zheng, Shou Shih-Fu Chang.
  "LPAT: Learning to Predict Adaptive Threshold for Weakly-supervised Temporal Action Localization" arXiv 2019. [paper]
• **RefineLoc:**Humam Alwassel1, Alejandro Pardo1, Fabian Caba Heilbron, Ali Thabet1 Bernard Ghanem1.
  "RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization"Arxiv(2019) [paper] [paper]

Expecting for paper

• lvr: Xingyu Liu, Joon-Young Lee, Hailin Jin.
  "Learning Video Representations from Correspondence Proposals." CVPR 2019 oral.

Dataset

• THUMOS'14: Yu-Gang Jiang, Jingen Liu, Amir R. Zamir, George Toderici.
  "THUMOS Challenge 2014" [project]

• Activity: Bernard Ghanem, Juan Carlos Niebles, Cees Snoek, Fabian Caba Heilbron, Humam Alwassel, Victor Escorcia.
  "A Large-Scale Video Benchmark for Human Activity Understanding" [project]

• THUMOS'15: Alexander Gorban, Haroon Idrees, Yu-Gang Jiang, Amir R. Zamir.
  "THUMOS Challenge 2015" [project]

• COIN: Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou.
  "COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis." CVPR 2019. [paper] [project]