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Temporal Action Localization paper

Paper & code

weakly-supervised

  • W-TALC (ECCV18) W-TALC: Weakly-supervised Temporal Activity Localization and Classification tensorflow, pytorch
  • STPN (CVPR18) Weakly Supervised Action Localization by Sparse Temporal Pooling Network tensorflow, pytorch
  • ASSG (ACM19) Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization
  • TSM (ICCV19) Temporal Structure Mining for Weakly Supervised Action Detection
  • STAR (AAAI19) Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection
  • 3C-Net (ICCV19) 3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization pytorch
  • CMCS (CVPR19) Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization pytorch
  • MAAN (ICLR19) Marginalized Average Attentional Network for Weakly-Supervised Learning pytorch
  • Nguyen et al. (ICCV19) Weakly-supervised Action Localization with Background Modeling
  • CleanNet (ICCV19) Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks
  • BaSNet (AAAI20) Background Suppression Network for Weakly-supervised Temporal Action Localization pytorch
  • RPN (AAAI20) Relational Prototypical Network for Weakly Supervised Temporal Action Localization
  • WSGN (WACV20) Weakly Supervised Gaussian Networks for Action Detection
  • WSAD (WACV20) Weakly Supervised Temporal Action Localization Using Deep Metric Learning pytorch
  • DGAM (CVPR20) Weakly-Supervised Action Localization by Generative Attention Modeling pytorch
  • EM-MIL Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning
  • ACL Learning Temporal Co-Attention Models for Unsupervised Video Action Localization
  • BMUE Background Modeling via Uncertainty Estimation for Weakly-supervised Action Localization pytorch

fully-supervised

  • S-CNN (CVPR16) Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs caffe
  • P-GCN (ICCV19) Graph Convolutional Networks for Temporal Action Localization pytorch
  • C-TCN (ICCV19) Deep Concept-wise Temporal Convolutional Networks for Action Localization
  • Joshua et al. (WACV20) Activity Detection in Untrimmed Videos Using Chunk-based Classifiers

Experiments (THUMOS14)

# link2
├── THUMOS14
   ├── gt.json
   ├── split_train.txt
   ├── split_test.txt
   └── features
       ├── train
           ├── rgb
               ├── video_validation_0000051.npy
               ├── video_validation_0000052.npy
               └── ...
           └── flow
               ├── video_validation_0000051.npy
               ├── video_validation_0000052.npy
               └── ...
       └── test
           ├── rgb
               ├── video_test_0000004.npy
               ├── video_test_0000006.npy
               └── ...
           └── flow
               ├── video_test_0000004.npy
               ├── video_test_0000006.npy
               └── ...

weakly-supervised (feature extractor:I3D)

conference name 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 code
1 ECCV(2018) W-TALC 55.2 49.6 40.1 31.1 22.8 - 7.6 - - tensor, pytorch
2 CVPR(2018) STPN 52.0 44.7 35.5 25.8 16.9 9.9 4.3 1.2 0.1 tensor, pytorch
3 ACM(2019) ASSG 65.6 59.4 50.4 38.7 25.4 15.0 6.6 - -
4 ICCV(2019) TSM - - 39.5 - 24.5 - 7.1 -
5 AAAI(2019) STAR 68.8 60.0 48.7 34.7 23.0 - - - -
6 ICCV(2019) 3C-Net 59.1 53.5 44.2 34.1 26.6 - 8.1 - - pytorch
7 CVPR(2019) CMCS 57.4 50.8 41.2 32.1 23.1 15.0 7.0 - - pytorch
8 ICLR(2019) MAAN 59.8 50.8 41.1 30.6 20.3 12.0 6.9 - - pytorch
9 ICCV(2019) Nguyen et al. 60.4 56.0 46.6 37.5 26.8 17.6 9.0 3.3 0.4
10 ICCV(2019) CleanNet - - 37.0 30.9 23.9 13.9 7.1 - -
11 AAAI(2020) BaSNet 58.2 52.3 44.6 36.0 27.0 18.6 10.4 3.9 0.5 pytorch
12 AAAI(2020) RPN 62.3 57.0 48.2 37.2 27.9 16.7 8.1
13 WACV(2020) WSGN
14 WACV(2020) WSAD 62.3 46.8 29.6 9.7 pytorch
15 CVPR(2020) DGAM 60.0 54.2 46.8 38.2 28.8 19.8 11.4 3.6 0.4 pytorch
16 EM-MIL 59.1 52.7 45.5 36.8 30.5 22.7 16.4 - -
17 ACL - - 46.9 38.9 30.1 19.8 10.4 -
18 BMUE - - 46.9 39.2 30.7 20.8 12.5 - - pytorch

fully-supervised

conference name 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 code
1 CVPR(2016) S-CNN 47.7 60.0 48.7 34.7 23.0 - - - - caffe
2 ICCV(2019) P-GCN 69.5 67.8 63.6 57.8 49.1 - - - - pytorch
3 ICCV(2019) C-TCN 72.2 71.4 68.0 62.3 52.1 - - - -
4 WACV(2020) Joshua et al. 67.41 60.0 48.7 34.7 23.0 - - - -