Pilhyeon/Awesome-Weakly-Supervised-Temporal-Action-Localization Pilhyeon/Awesome-Weakly-Supervised-Temporal-Action-Localization

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A curated publication list on weakly-supervised temporal action localization

Awesome Weakly-supervised Temporal Action Localization

A curated publication list on weakly-supervised temporal action localization.

This repository was built to facilitate navigating the mainstream on weakly-supervised temporal action localization.
Please note that only accepted papers (for reliability) by conferences (for brevity) are contained here.

Last updated: 2023/5/17 (CVPR'23 added)

Table of Contents

Performance Tables

The mean average precisions (mAPs) under the standard intersection over union (IoU) thresholds are reported. For example, '@0.5' indicates the mAP score at the IoU threshold of 0.5.
The AVG denotes the average mAP under the IoU thresholds from 0.1 to 0.7 (for THUMOS14), from 0.1 to 0.5 (for FineGym), or from 0.5 to 0.95 with a step size of 0.05 (for ActivityNet both versions and FineAction).

In addition, links to the implementations are attached with their framework specification if available. 'o-' and 'u-' indicate the official and the unofficial implementations, respectively.

[Note]
*: use of additional trimmed videos
†: use of additional information such as action count, pose, audio, and a large vision-language model

THUMOS14

ID Year Venue Model
(or Authors)		 @0.1 @0.2 @0.3 @0.4 @0.5 @0.6 @0.7 AVG code
1 2017 CVPR UntrimmedNets 44.4 37.7 28.2 21.1 13.7 - - - [o-matlab]
2 2017 ICCV Hide-and-seek 36.4 27.8 19.5 12.7 6.8 - - - [o-torch]
3 2018 CVPR STPN 52.0 44.7 35.5 25.8 16.9 9.9 4.3 27.0 [u-tensorflow]
4 2018 ECCV AutoLoc - - 35.8 29.0 21.2 13.4 5.8 - [o-caffe]
5 2018 ECCV W-TALC 55.2 49.6 40.1 31.1 22.8 - 7.6 - [o-pytorch]
[o-tensorflow]
6 2018 MM Zhong et al. 45.8 39.0 31.1 22.5 15.9 - - -
7 2019 AAAI TSRNet* 55.9 46.9 38.3 28.1 18.6 11.0 5.6 29.2
8 2019 AAAI STAR† 68.8 60.0 48.7 34.7 23.0 - - -
9 2019 ICLR MAAN 59.8 50.8 41.1 30.6 20.3 12.0 6.9 31.6 [o-pytorch]
10 2019 CVPR Liu et al. 57.4 50.8 41.2 32.1 23.1 15.0 7.0 32.4 [o-pytorch]
11 2019 ICIP Park et al. - - 40.2 32.2 21.7 - 9.2 -
12 2019 ICIP ACN - - 35.9 30.7 24.2 15.7 7.4 -
13 2019 MM ASSG 65.6 59.4 50.4 38.7 25.4 15.0 6.6 37.3
14 2019 ICCV CleanNet - - 37.0 30.9 23.9 13.9 7.1 -
15 2019 ICCV TSM - - 39.5 - 24.5 - 7.1 -
16 2019 ICCV 3C-Net† 59.1 53.5 44.2 34.1 26.6 - 8.1 - [o-pytorch]
17 2019 ICCV Nguyen et al. 60.4 56.0 46.6 37.5 26.8 17.6 9.0 36.3
18 2020 AAAI PreTrimNet† 57.5 50.7 41.4 32.1 23.1 14.2 7.7 32.4
19 2020 AAAI BaS-Net 58.2 52.3 44.6 36.0 27.0 18.6 10.4 35.3 [o-pytorch]
20 2020 AAAI RPN 62.3 57.0 48.2 37.2 27.9 16.7 8.1 36.8
21 2020 WACV WSGN 57.9 51.2 42.0 33.1 25.1 16.7 8.9 33.6
22 2020 WACV Islam and Radke 62.3 - 46.8 - 29.6 - 9.7 - [o-pytorch]
23 2020 WACV Rashid et al. 63.7 56.9 47.3 36.4 26.1 - - - [o-pytorch]
24 2020 CVPR ActionBytes - - 43.0 35.8 29.0 - 9.5 -
25 2020 CVPR DGAM 60.0 54.2 46.8 38.2 28.8 19.8 11.4 37.0 [o-pytorch]
26 2020 CVPR Gong et al. - - 46.9 38.9 30.1 19.8 10.4 - [o-pytorch]
27 2020 ECCV EM-MIL 59.1 52.7 45.5 36.8 30.5 22.7 16.4 37.7 [o-pytorch]
28 2020 ECCV A2CL-PT 61.2 56.1 48.1 39.0 30.1 19.2 10.6 37.8 [o-pytorch]
29 2020 ECCV TSCN 63.4 57.6 47.8 37.7 28.7 19.4 10.2 37.8
30 2020 MM ACM-BANet 64.6 57.7 48.9 40.9 32.3 21.9 13.5 40.0
31 2021 WACV RefineLoc - - 40.8 32.7 23.1 13.3 5.3 - [o-pytorch]
32 2021 AAAI Liu et al. - - 50.8 41.7 29.6 20.1 10.7 -
33 2021 AAAI ACSNet - - 51.4 42.7 32.4 22.0 11.7 -
34 2021 AAAI HAM-Net 65.9 59.6 52.2 43.1 32.6 21.9 12.5 41.1 [o-pytorch]
35 2021 AAAI Lee et al. 67.5 61.2 52.3 43.4 33.7 22.9 12.1 41.9 [o-pytorch]
37 2021 CVPR ASL 67.0 - 51.8 - 31.1 - 11.4 - [o-pytorch]
38 2021 CVPR CoLA 66.2 59.5 51.5 41.9 32.2 22.0 13.1 40.9 [o-pytorch]
39 2021 CVPR AUMN 66.2 61.9 54.9 44.4 33.3 20.5 9.0 41.5
40 2021 CVPR TS-PCA 67.6 61.1 53.4 43.4 34.3 24.7 13.7 42.6
41 2021 CVPR UGCT 69.2 62.9 55.5 46.5 35.9 23.8 11.4 43.6
42 2021 ICCV D2-Net 65.7 60.2 52.3 43.4 36.0 - - - [o-pytorch]
43 2021 ICCV FAC-Net 67.6 62.1 52.6 44.3 33.4 22.5 12.7 42.2 [o-pytorch]
44 2021 MM CSCL 68.0 61.8 52.7 43.3 33.4 21.8 12.3 41.9
45 2021 MM CO2-Net 70.1 63.6 54.5 45.7 38.3 26.4 13.4 44.6 [o-pytorch]
46 2022 AAAI ACGNet 68.1 62.6 53.1 44.6 34.7 22.6 12.0 42.5
47 2022 CVPR FTCL 69.6 63.4 55.2 45.2 35.6 23.7 12.2 43.6 [o-pytorch]
48 2022 CVPR DCC 69.0 63.8 55.9 45.9 35.7 24.3 13.7 44.0
49 2022 CVPR Huang et al. 71.3 65.3 55.8 47.5 38.2 25.4 12.5 45.1 [o-pytorch]
50 2022 CVPR ASM-Loc 71.2 65.5 57.1 46.8 36.6 25.2 13.4 45.1 [o-pytorch]
51 2022 MM DGCNN 66.3 59.9 52.3 43.2 32.8 22.1 13.1 41.3
52 2022 MM Li et al. 69.7 64.5 58.1 49.9 39.6 27.3 14.2 46.1
54 2022 ECCV DELU 71.5 66.2 56.5 47.7 40.5 27.2 15.3 46.4 [o-pytorch]
55 2023 WACV TFE-DCN 72.3 66.5 58.6 49.5 40.7 27.1 13.7 46.9 [o-pytorch]
56 2023 CVPR Wang et al. 73.0 68.2 60.0 47.9 37.1 24.4 12.7 46.2
57 2023 CVPR Li et al. - - 56.2 47.8 39.3 27.5 15.2 - [o-pytorch]
58 2023 CVPR Ren et al. 71.8 67.5 58.9 49.0 40.0 27.1 15.1 47.0 [o-pytorch]
59 2023 CVPR Zhou et al. 74.0 69.4 60.7 51.8 42.7 26.2 13.1 48.3 [o-pytorch]
60 2023 CVPR Ju et al.† 73.5 68.8 61.5 53.8 42.0 29.4 16.8 49.4
61 2023 CVPR PivoTAL 74.1 69.6 61.7 52.1 42.8 30.6 16.7 49.6

ActivityNet1.2

ID Year Venue Model
(or Authors)		 @0.5 @0.75 @0.95 AVG code
4 2018 ECCV AutoLoc 27.3 15.1 3.3 16.0 [o-caffe]
5 2018 ECCV W-TALC 37.0 - - 18.0 [o-pytorch]
[o-tensorflow]
6 2018 MM Zhong et al. 27.3 14.7 2.9 15.6
10 2019 CVPR Liu et al. 36.8 22.0 5.6 22.4 [o-pytorch]
11 2019 ICIP Park et al. 33.7 - - -
12 2019 ICIP ACN 30.4 15.4 3.7 17.0
14 2019 ICCV CleanNet 37.1 20.3 5.0 21.6
15 2019 ICCV TSM 28.3 17.0 3.5 17.1
16 2019 ICCV 3C-Net† 37.2 - - 21.7 [o-pytorch]
19 2020 AAAI BaS-Net 38.5 24.2 5.6 24.3 [o-pytorch]
20 2020 AAAI RPN 37.6 23.9 5.4 23.3
22 2020 WACV Islam and Radke 35.2 - - - [o-pytorch]
23 2020 WACV Rashid et al. 29.4 - - - [o-pytorch]
24 2020 CVPR ActionBytes 39.4 - - -
25 2020 CVPR DGAM 41.0 23.5 5.3 24.4 [o-pytorch]
26 2020 CVPR Gong et al. 40.0 25.0 4.6 24.6 [o-pytorch]
27 2020 ECCV EM-MIL 37.4 - - 20.3 [o-pytorch]
29 2020 ECCV TSCN 37.6 23.7 5.7 23.6
31 2021 WACV RefineLoc 38.7 22.6 5.5 23.2 [o-pytorch]
32 2021 AAAI Liu et al. 39.2 25.6 6.8 25.5
33 2021 AAAI ACSNet 40.1 26.1 6.8 26.0
34 2021 AAAI HAM-Net 41.0 24.8 5.3 25.1 [o-pytorch]
35 2021 AAAI Lee et al. 41.2 25.6 6.0 25.9 [o-pytorch]
36 2021 ICLR Lee et al.† 44.8 26.7 1.0 26.0
37 2021 CVPR ASL 40.2 - - 25.8 [o-pytorch]
38 2021 CVPR CoLA 42.7 25.7 5.8 26.1 [o-pytorch]
39 2021 CVPR AUMN 42.0 25.0 5.6 25.5
41 2021 CVPR UGCT 41.8 25.3 5.9 25.8
42 2021 ICCV D2-Net 42.3 25.5 5.8 26.0 [o-pytorch]
44 2021 MM CSCL 43.8 26.9 5.6 26.9
45 2021 MM CO2-Net 43.3 26.3 5.2 26.4 [o-pytorch]
46 2022 AAAI ACGNet 41.8 26.0 5.9 26.1
51 2022 MM DGCNN 42.0 25.8 6.0 26.2
52 2022 MM Li et al. 41.6 24.8 5.4 25.2
54 2022 ECCV DELU 44.2 26.7 5.4 26.9 [o-pytorch]
58 2023 CVPR Ren et al. 44.2 26.1 5.3 26.5 [o-pytorch]
60 2023 CVPR Ju et al.† 48.3 29.3 6.1 29.6

ActivityNet1.3

ID Year Venue Model
(or Authors)		 @0.5 @0.75 @0.95 AVG code
3 2018 CVPR STPN 29.3 16.9 2.6 - [u-tensorflow]
7 2019 AAAI TSRNet* 33.1 18.7 3.3 21.8
8 2019 AAAI STAR† 31.1 18.8 4.7 -
9 2019 ICLR MAAN 33.7 21.9 5.5 - [o-pytorch]
10 2019 CVPR Liu et al. 34.0 20.9 5.7 21.2 [o-pytorch]
13 2019 MM ASSG 32.3 20.1 4.0 -
15 2019 ICCV TSM 30.3 19.0 4.5 -
17 2019 ICCV Nguyen et al. 36.4 19.2 2.9 -
18 2020 AAAI PreTrimNet† 34.8 20.9 5.3 22.5
19 2020 AAAI BaS-Net 34.5 22.5 4.9 22.2 [o-pytorch]
28 2020 ECCV A2CL-PT 36.8 22.0 5.2 22.5 [o-pytorch]
29 2020 ECCV TSCN 35.3 21.4 5.3 21.7
30 2020 MM ACM-BANet 37.6 24.7 6.5 24.4
32 2021 AAAI Liu et al. 35.1 23.7 5.6 23.2
33 2021 AAAI ACSNet 36.3 24.2 5.8 23.9
35 2021 AAAI Lee et al. 37.0 23.9 5.7 23.7 [o-pytorch]
39 2021 CVPR AUMN 38.3 23.5 5.2 23.5
40 2021 CVPR TS-PCA 37.4 23.5 5.9 23.7
41 2021 CVPR UGCT 39.1 22.4 5.8 23.8
43 2021 ICCV FAC-Net 37.6 24.2 6.0 24.0 [o-pytorch]
47 2022 CVPR FTCL 40.0 24.3 6.4 24.8 [o-pytorch]
48 2022 CVPR DCC 38.8 24.2 5.7 24.3
49 2022 CVPR Huang et al. 40.6 24.6 5.9 25.0 [o-pytorch]
50 2022 CVPR ASM-Loc 41.0 24.9 6.2 25.1 [o-pytorch]
51 2022 MM DGCNN 37.2 23.8 5.8 23.9
55 2023 WACV TFE-DCN 41.4 24.8 6.4 25.3 [o-pytorch]
56 2023 CVPR Wang et al. 41.8 25.7 6.5 26.3
57 2023 CVPR Li et al. 41.8 26.0 6.0 26.0 [o-pytorch]
58 2023 CVPR Ren et al. 41.8 25.4 5.2 25.5 [o-pytorch]
59 2023 CVPR Zhou et al. 43.4 28.8 9.9 28.8 [o-pytorch]
61 2023 CVPR PivoTAL 45.1 28.2 5.0 28.1

FineAction

ID Year Venue Model
(or Authors)		 @0.5 @0.75 @0.95 AVG code
5 2018 ECCV W-TALC (Reprod.) 6.18 3.15 0.83 3.45 [o-pytorch]
[o-tensorflow]
35 2021 AAAI Lee et al. (Reprod.) 6.65 3.23 0.95 3.64 [o-pytorch]
37 2021 CVPR ASL (Reprod.) 6.79 2.68 0.81 3.30 [o-pytorch]
42 2021 ICCV D2-Net (Reprod.) 6.75 3.02 0.82 3.35 [o-pytorch]
53 2022 ECCV HAAN 7.05 3.95 1.14 4.10 [o-pytorch]

FineGym

ID Year Venue Model
(or Authors)		 @0.1 @0.2 @0.3 @0.4 @0.5 AVG code
5 2018 ECCV W-TALC (Reprod.) 8.85 7.32 6.24 4.95 3.15 6.03 [o-pytorch]
[o-tensorflow]
35 2021 AAAI Lee et al. (Reprod.) 9.45 8.63 5.10 4.34 3.05 6.11 [o-pytorch]
37 2021 CVPR ASL (Reprod.) 9.33 7.92 5.45 3.67 2.24 5.74 [o-pytorch]
42 2021 ICCV D2-Net (Reprod.) 9.46 8.67 5.21 4.22 2.65 6.04 [o-pytorch]
53 2022 ECCV HAAN 10.79 9.62 7.65 6.16 4.16 7.67 [o-pytorch]

Paper List

  1. [UntrimmedNets] | CVPR'17 | UntrimmedNets for Weakly Supervised Action Recognition and Detection | [pdf] | [o-matlab]
  2. [Hide-and-seek] | ICCV'17 | Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization | [pdf] | [o-torch]
  3. [STPN] | CVPR'18 | Weakly Supervised Action Localization by Sparse Temporal Pooling Network | [pdf] | [u-tensorflow]
  4. [AutoLoc] | ECCV'18 | AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos | [pdf] | [o-caffe]
  5. [W-TALC] | ECCV'18 | W-TALC: Weakly-supervised Temporal Activity Localization and Classification | [pdf] | [o-pytorch] | [o-tensorflow]
  6. [Zhong et al.] | MM'18 | Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector | [pdf]
  7. [TSR-Net*] | AAAI'19 | Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision | [pdf]
  8. [STAR†] | AAAI'19 | Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection | [pdf]
  9. [MAAN] | ICLR'19 | Marginalized Average Attentional Network for Weakly-Supervised Learning | [pdf]
  10. [Liu et al.] | CVPR'19 | Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization | [pdf] | [o-pytorch]
  11. [Park et al.] | ICIP'19 | Graph Regularization Network with Semantic Affinity for Weakly-Supervised Temporal Action Localization | [pdf]
  12. [ACN] | ICIP'19 | Action Coherence Network for Weakly Supervised Temporal Action Localization | [pdf]
  13. [ASSG] | MM'19 | Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization | [pdf]
  14. [CleanNet] | ICCV'19 | Weakly Supervised Temporal Action Localization through Contrast based Evaluation Networks | [pdf]
  15. [TSM] | ICCV'19 | Temporal Structure Mining for Weakly Supervised Action Detection | [pdf]
  16. [3C-Net†] | ICCV'19 | 3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization | [pdf] | [o-pytorch]
  17. [Nguyen et al.] | ICCV'19 | Weakly-supervised Action Localization with Background Modeling | [pdf]
  18. [PreTrimNet†] | AAAI'20 | Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos | [pdf]
  19. [BaS-Net] | AAAI'20 | Background Suppression Network for Weakly-supervised Temporal Action Localization | [pdf] | [o-pytorch]
  20. [RPN] | AAAI'20 | Relational Prototypical Network for Weakly Supervised Temporal Action Localization | [pdf]
  21. [WSGN] | WACV'20 | Weakly Supervised Gaussian Networks for Action Detection | [pdf]
  22. [Islam and Radke] | WACV'20 | Weakly Supervised Temporal Action Localization Using Deep Metric Learning | [pdf] | [o-pytorch]
  23. [Rashid et al.] | WACV'20 | Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks | [pdf] | [o-pytorch]
  24. [ActionBytes] | CVPR'20 | ActionBytes: Learning from Trimmed Videos to Localize Actions | [pdf]
  25. [DGAM] | CVPR'20 | Weakly-Supervised Action Localization by Generative Attention Modeling | [pdf] | [o-pytorch]
  26. [Gong et al.] | CVPR'20 | Learning Temporal Co-Attention Models for Unsupervised Video Action Localization | [pdf] | [o-pytorch]
  27. [EM-MIL] | ECCV'20 | Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning | [pdf] | [o-pytorch]
  28. [A2CL-PT] | ECCV'20 | Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization | [pdf] | [o-pytorch]
  29. [TSCN] | ECCV'20 | Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization | [pdf]
  30. [ACM-BANet] | MM'20 | Action Completeness Modeling with Background Aware Networks for Weakly-Supervised Temporal Action Localization | [pdf]
  31. [RefineLoc] | WACV'21 | RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization | [pdf] | [o-pytorch]
  32. [Liu et al.] | AAAI'21 | Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context | [pdf]
  33. [ACSNet] | AAAI'21 | ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization | [pdf]
  34. [HAM-Net] | AAAI'21 | A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization | [pdf] | [o-pytorch]
  35. [Lee et al.] | AAAI'21 | Weakly-supervised Temporal Action Localization by Uncertainty Modeling | [pdf] | [o-pytorch]
  36. [Lee et al.†] | ICLR'21 | Cross-attentional Audio-visual Fusion for Weakly-supervised Action Localization | [pdf]
  37. [ASL] | CVPR'21 | Weakly Supervised Action Selection Learning in Video | [pdf] | [o-pytorch]
  38. [CoLA] | CVPR'21 | CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning | [pdf] | [o-pytorch]
  39. [AUMN] | CVPR'21 | Action Unit Memory Network for Weakly Supervised Temporal Action Localization | [pdf]
  40. [TS-PCA] | CVPR'21 | The Blessings of Unlabeled Background in Untrimmed Videos | [pdf]
  41. [UGCT] | CVPR'21 | Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection | [pdf]
  42. [D2-Net] | ICCV'21 | D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations | [pdf] | [o-pytorch]
  43. [FAC-Net] | ICCV'21 | Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization | [pdf] | [o-pytorch]
  44. [CSCL] | MM'21 | Weakly-Supervised Temporal Action Localization via Cross-Stream Collaborative Learning | [pdf]
  45. [CO2-Net] | MM'21 | Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization | [pdf] | [o-pytorch]
  46. [ACGNet] | AAAI'22 | ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action Localization | [pdf]
  47. [FTCL] | CVPR'22 | Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization | [pdf] | [o-pytorch]
  48. [DCC] | CVPR'22 | Exploring Denoised Cross-video Contrast for Weakly-supervised Temporal Action Localization | [pdf]
  49. [Huang et al.] | CVPR'22 | Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation | [pdf] | [o-pytorch]
  50. [ASM-Loc] | CVPR'22 | ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization | [pdf] | [o-pytorch]
  51. [DGCNN] | MM'22 | Dynamic Graph Modeling for Weakly-Supervised Temporal Action Localization | [pdf]
  52. [Li et al.] | MM'22 | Forcing the Whole Video as Background: An Adversarial Learning Strategy for Weakly Temporal Action Localization | [pdf]
  53. [HAAN] | ECCV'22 | Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions | [pdf] | [o-pytorch]
  54. [DELU] | ECCV'22 | Dual-Evidential Learning for Weakly-supervised Temporal Action Localization | [pdf] | [o-pytorch]
  55. [TFE-DCN] | WACV'23 | Temporal Feature Enhancement Dilated Convolution Network for Weakly-supervised Temporal Action Localization | [pdf] | [o-pytorch]
  56. [Wang et al.] | CVPR'23 | Two-Stream Networks for Weakly-Supervised Temporal Action Localization with Semantic-Aware Mechanisms | [pdf]
  57. [Li et al.] | CVPR'23 | Boosting Weakly-Supervised Temporal Action Localization with Text Information | [pdf] | [o-pytorch]
  58. [Ren et al.] | CVPR'23 | Proposal-based Multiple Instance Learning for Weakly-supervised Temporal Action Localization | [pdf] | [o-pytorch]
  59. [Zhou et al.] | CVPR'23 | Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels | [pdf] | [o-pytorch]
  60. [Ju et al.†] | CVPR'23 | Distilling Vision-Language Pre-training to Collaborate with Weakly-Supervised Temporal Action Localization | [pdf]
  61. [PivoTAL] | CVPR'23 | PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization | [pdf]

Feedback

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