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.
| Detector | Pub | c | e | 0.1 | 0.2 | 0.3 | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | avg | info |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| EM-MIL | ECCV20 | N | A | 59.1 | 52.7 | 45.5 | 36.8 | 30.5 | 22.7 | 16.4 | - | - | - | Use existing classifiation results |
| ACL | CVPR20 | N | A | - | - | 46.9 | 38.9 | 30.1 | 19.8 | 10.4 | - | - | - | Report unsupervised performance as well |
| A2CL-PT | ECCV20 | N | A | 61.2 | 56.1 | 48.1 | 39.0 | 30.1 | 19.2 | 10.6 | 4.8 | 1.0 | - | Report unsupervised performance as well |
| WSTAL | WACV20 | - | 62.3 | - | 46.8 | - | 29.6 | - | 9.7 | - | - | - | - | |
| ActionBytes | CVPR20 | N | A | - | - | 43.0 | 37.5 | 29.0 | - | 9.5 | - | - | - | - |
| DGAM | CVPR20 | Y | A | 60.0 | 54.2 | 46.8 | 38.2 | 28.8 | 19.8 | 11.4 | 3.6 | 0.4 | - | - |
| TSCN | ECCV20 | N | A | 63.4 | 57.6 | 47.8 | 37.7 | 28.7 | 19.4 | 10.2 | 3.9 | 0.7 | - | - |
| BaSNet-I3D | AAAI20 | Y | A | 58.2 | 52.3 | 44.6 | 36.0 | 27.0 | 18.6 | 10.4 | 3.9 | 0.5 | - | - |
| BaSNet-UNT | AAAI20 | Y | A | 56.2 | 50.3 | 42.8 | 34.7 | 25.1 | 17.1 | 9.3 | 3.7 | 0.5 | - | - |
| WSBM | ICCV19 | N | A | 60.4 | 56.0 | 46.6 | 37.5 | 26.8 | 17.6 | 9.0 | 3.3 | 0.4 | - | - |
| 3C-Net | ICCV19 | Y | I | 59.1 | 53.5 | 44.2 | 34.1 | 26.6 | - | 8.1 | - | - | - | - |
| ASSG | ACM 19 | N | 65.6 | 59.4 | 50.4 | 38.7 | 25.4 | 15.0 | 6.6 | - | - | - | - | |
| TSM | ICCV19 | N | T | - | - | 39.5 | 31.9 | 24.5 | 13.8 | 7.1 | - | - | 23.4 | - |
| CleanNet | ICCV19 | N | T | - | - | 37.0 | 30.9 | 23.9 | 13.9 | 7.1 | - | - | - | - |
| CMCS-I3D | CVPR19 | Y | T | 57.4 | 50.8 | 41.2 | 32.1 | 23.1 | 15.0 | 7.0 | - | - | - | report avg-mAP |
| CMCS-UNT | CVPR19 | Y | T | 53.5 | 46.8 | 37.5 | 29.1 | 19.9 | 12.3 | 6.0 | - | - | - | - |
| STARNet | AAAI19 | N | A | 68.8 | 60.0 | 48.7 | 34.7 | 23.0 | - | - | - | - | - | - |
| W-TALC | ECCV18 | Y | I | 55.2 | 49.6 | 40.1 | 31.1 | 22.8 | - | - | - | - | 7.6 | - |
| AutoLoc | ECCV18 | Y | T | - | - | 35.8 | 29.0 | 21.2 | 13.4 | 5.8 | - | - | - | - |
| MAAN | ICLR19 | Y | A | 59.8 | 50.8 | 41.1 | 30.6 | 20.3 | 12.0 | 6.9 | 2.6 | 0.2 | 94.1 | - |
| LTSR | AAAI19 | N | T | 55.9 | 46.9 | 38.3 | 28.1 | 18.6 | 11.0 | 5.59 | 2.19 | 0.29 | - | - |
| WSGN | WACV20 | - | T | 51.1 | 44.4 | 34.9 | 26.3 | 18.1 | 11.6 | 6.5 | - | - | - | - |
| STPN | CVPR18 | I | A | 52.0 | 44.7 | 35.5 | 25.8 | 16.9 | 9.9 | 4.3 | 1.2 | 0.1 | - | - |
| CPMN | ACCV18 | N | T | 47.1 | 41.6 | 32.8 | 24.7 | 16.1 | 10.1 | 5.5 | - | - | - | - |
| S-O-C | ACM18 | N | T | 45.8 | 39.0 | 31.1 | 22.5 | 15.9 | - | - | - | - | - | - |
| UntrimmedNets | CVPR17 | Y | T | 44.4 | 37.7 | 28.2 | 21.1 | 13.7 | - | - | - | - | - | - |
| H&S | ICCV17 | Y | T | 36.44 | 27.84 | 19.49 | 12.66 | 6.84 | - | - | - | - | - | - |
| LPAT-I3D+TEM | arXiv | - | - | - | 46.9 | 37.4 | 28.0 | 16.6 | 9.2 | - | - | 27.6 | - | |
| LPAT-I3D | arXiv | - | - | - | 46.7 | 37.5 | 27.9 | 17.6 | 9.2 | - | - | 27.6 | - | |
| LPAT-U | arXiv | - | - | - | 39.9 | 31.5 | 22.6 | 14.2 | 7.9 | - | - | 27.6 | - | |
| RefineLoc-I3D | arXiv | - | T | - | - | 40.8 | - | 23.1 | - | 5.3 | - | - | - | - |
| RefineLoc-TSN | arXiv | - | T | - | - | 36.1 | - | 22.6 | - | 5.8 | - | - | - | - |
Weakly Supervised Performance on ActivityNet v1.2 dataset.
| Detector | Pub | c | 0.5 | 0.55 | 0.60 | 0.65 | 0.70 | 0.75 | 0.80 | 0.85 | 0.90 | 0.95 | avg | test | info |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BaSNet-I3D | AAAI20 | Y | 38.5 | - | - | - | - | 24.2 | - | - | - | 5.6 | 24.3 | - | - |
| TSCN | ECCV20 | N | 37.6 | - | - | - | - | 23.7 | - | - | - | 5.7 | 23.6 | - | - |
| CMCS | CVPR19 | Y | 36.8 | - | - | - | - | 22.0 | - | - | - | 5.6 | 22.4 | - | - |
| 3C-Net | ICCV19 | Y | 35.4 | - | - | - | - | 22.9 | - | - | - | 8.5 | 21.1 | - | - |
| TSM | ICCV19 | N | 28.3 | 26.0 | 23.6 | 21.2 | 18.9 | 17.0 | 14.0 | 11.1 | 7.5 | 3.5 | - | - | - |
| CleanNet | ICCV19 | N | 37.1 | 33.4 | 29.9 | 26.7 | 23.4 | 20.3 | 17.2 | 13.9 | 9.2 | 5.0 | 21.6 | - | - |
| EM-MIL | ECCV20 | N | 37.4 | - | - | - | 23.1 | - | - | - | 2.0 | - | 20.3 | - | - |
| W-TALC | ECCV18 | Y | 37.0 | - | - | - | 14.6 | - | - | - | - | - | 18.0 | - | - |
| AutoLoc | ECCV18 | Y | 27.3 | 24.9 | 22.5 | 19.9 | 17.5 | 15.1 | 13.0 | 10.0 | 6.8 | 3.3 | 16.0 | - | - |
| RefineLoc-I3D | arXiv | - | 38.7 | - | - | - | - | 22.6 | - | - | - | 5.5 | 23.2 | - | - |
| RefineLoc-TSN | arXiv | - | 38.8 | - | - | - | - | 22.2 | - | - | - | 5.3 | 23.2 | - | - |
| LPAT | arXiv | - | 37.6 | 34.6 | 31.6 | 28.7 | 25.6 | 22.6 | 19.6 | 15.3 | 10.9 | 4.9 | 23.1 | - | - |
| WSTAL | arXiv | - | 35.2 | - | - | - | 16.3 | - | - | - | - | - | - | - | - |
Weakly Supervised Performance on ActivityNet v1.3 dataset.
| Detector | Pub | c | 0.5 | 0.75 | 0.95 | avg |
|---|---|---|---|---|---|---|
| BaSNet-I3D | AAAI20 | Y | 34.5 | 22.5 | 4.9 | 22.2 |
| TSCN | ECCV20 | N | 35.3 | 21.4 | 5.3 | 21.7 |
| WSBM | ICCV19 | N | 36.4 | 19.2 | 2.9 | - |
| ASSG | ACM 19 | N | 32.3 | 20.1 | 4.0 | - |
| TSM | ICCV19 | N | 30.0 | 19.0 | 4.5 | - |
| CMCS | CVPR19 | Y | 34.0 | 20.9 | 5.7 | 21.2 |
| STARNet | AAAI19 | N | 31.1 | 18.8 | 4.7 | - |
| MAAN | ICLR19 | Y | 33.7 | 21.9 | 5.5 | - |
| LTSR | AAAI19 | N | 33.1 | 18.7 | 3.32 | 21.78 |
| STPN | CVPR18 | I | 29.3 | 16.9 | 2.6 | - |
| CPMN | ACCV18 | N | 39.29 | 24.09 | 6.71 | 24.42 |
| S-O-C | ACM18 | N | 27.3 | 14.7 | 2.9 | 15.6 |
- EM-MILZhekun 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: Supplementary Material." 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]
- lvr: Xingyu Liu, Joon-Young Lee, Hailin Jin.
"Learning Video Representations from Correspondence Proposals." CVPR 2019 oral.
-
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]