Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

update for CVPR and ECCV 2020 #3

Open
wants to merge 2 commits into
base: master
Choose a base branch
from
Open

update for CVPR and ECCV 2020 #3

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
e86d884
update for CVPR and ECCV 2020
kylemin Aug 24, 2020
093b96a
update one more from ECCV 2020
kylemin Aug 24, 2020
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
48 changes: 27 additions & 21 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,40 +1,44 @@
# Papers: temporal action proposals & detection
- **Constraining Temporal Relationship for Action Localization** (arxiv 2020)
- (AGCN-P-3DCNNs) **Graph Attention Based Proposal 3D ConvNets for Action Detection** (AAAI20)
- (PBRNet) **Progressive Boundary Refinement Network for Temporal Action Detection** (AAAI20)
- (RapNet) **Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network** (AAAI20)
- (S-2D-TAN) **Learning Sparse 2D Temporal Adjacent Networks for Temporal Action Localization** (HACS Temporal Action Localization Challenge at ICCV 2019)
- **Bottom-Up Temporal Action Localization with Mutual Regularization** (ECCV 2020)
- (G-TAD) **G-TAD: Sub-Graph Localization for Temporal Action Detection** (CVPR 2020) [CODE](https://github.com/frostinassiky/gtad)
- (CMSN) **CMSN: Continuous Multi-stage Network and Variable Margin Cosine Loss for Temporal Action Proposal Generation** (arxiv 2019)
- **Constraining Temporal Relationship for Action Localization** (arXiv 2020)
- (AGCN-P-3DCNNs) **Graph Attention Based Proposal 3D ConvNets for Action Detection** (AAAI 2020)
- (PBRNet) **Progressive Boundary Refinement Network for Temporal Action Detection** (AAAI 2020)
- (RapNet) **Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network** (AAAI 2020)
- (CMSN) **CMSN: Continuous Multi-stage Network and Variable Margin Cosine Loss for Temporal Action Proposal Generation** (arXiv 2019)
- (DBG) **Fast Learning of Temporal Action Proposal via Dense Boundary Generator** (AAAI 2020) [CODE](https://github.com/TencentYoutuResearch/ActionDetection-DBG)
- (AFO-TAD) **AFO-TAD: Anchor-free One-Stage Detector for Temporal Action Detection** (arxiv 2019)
- (AFO-TAD) **AFO-TAD: Anchor-free One-Stage Detector for Temporal Action Detection** (arXiv 2019)
- (S-2D-TAN) **Learning Sparse 2D Temporal Adjacent Networks for Temporal Action Localization** (HACS Temporal Action Localization Challenge at ICCV 2019)
- (semi-supervised) **Learning Temporal Action Proposals With Fewer Labels** (ICCV 2019)
- (DPP.AnchorFree) **Deep Point-wise Prediction for Action Temporal Proposal** (ICONIP 2019)
- (P-GCN) **Graph Convolutional Networks for Temporal Action Localization** (ICCV 2019) [CODE.pytorch](https://github.com/Alvin-Zeng/PGCN)
- (C-TCN) **Deep Concept-wise Temporal Convolutional Networks for Action Localization** (arxiv 2019) [CODE.PadddlePaddle](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/PaddleVideo)
- (TSANet) **Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos** (ICME2020)
- (C-TCN) **Deep Concept-wise Temporal Convolutional Networks for Action Localization** (arXiv 2019) [CODE.PadddlePaddle](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/PaddleVideo)
- (TSANet) **Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos** (ICME 2020)
- (BMN) **BMN: Boundary-Matching Network for Temporal Action Proposal Generation** (ICCV 2019)
- (TGM) **Temporal Gaussian Mixture Layer for Videos** (ICML 2019) [CODE.pytorch](https://github.com/piergiaj/tgm-icml19)
- (MGG) **Multi-granularity Generator for Temporal Action Proposal** (CVPR 2019)
- (GTAN) **Gaussian Temporal Awareness Networks for Action Localization** (CVPR 2019)

# Papers: weakly temporal action detection
- **Relational Prototypical Network for Weakly Supervised Temporal Action Localization** (AAAI20)
- (BaSNet) **Background Suppression Network for Weakly-supervised Temporal Action Localization** (AAAI20)[CODE.pytorch](https://github.com/Pilhyeon/BaSNet-pytorch)
- (LPAT) **LPAT: Learning to Predict Adaptive Threshold for Weakly-supervised Temporal Action Localization** (arxiv 2019)
- (3C-Net) **3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization** (ICCV2019)[CODE.pytorch](https://github.com/naraysa/3c-net)
- (A2CL-PT) **Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization** (ECCV 2020)[CODE.pytorch](https://github.com/MichiganCOG/A2CL-PT)
- **Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization** (ECCV 2020)
- (DGAM) **Weakly-Supervised Action Localization by Generative Attention Modeling** (CVPR 2020)
- **Relational Prototypical Network for Weakly Supervised Temporal Action Localization** (AAAI 2020)
- (BaSNet) **Background Suppression Network for Weakly-supervised Temporal Action Localization** (AAAI 2020)[CODE.pytorch](https://github.com/Pilhyeon/BaSNet-pytorch)
- (LPAT) **LPAT: Learning to Predict Adaptive Threshold for Weakly-supervised Temporal Action Localization** (arXiv 2019)
- (3C-Net) **3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization** (ICCV 2019)[CODE.pytorch](https://github.com/naraysa/3c-net)
- (TSM) **Temporal Structure Mining for Weakly Supervised Action Detection** (ICCV2019)
- (CleanNet) **Weakly Supervised Temporal Action Localization through Contrast based Evaluation Networks** (ICCV2019)
- (CleanNet) **Weakly Supervised Temporal Action Localization through Contrast based Evaluation Networks** (ICCV 2019)
- (BM) **Weakly-supervised Action Localization with Background Modeling** (ICCV 2019)
- (ASSG) **Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization** (ACM MM19)
- (CMCS) **Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization** (CVPR19)[CODE.pytorch](https://github.com/Finspire13/CMCS-Temporal-Action-Localization)
- (ASSG) **Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization** (ACMMM 2019)
- (CMCS) **Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization** (CVPR 2019)[CODE.pytorch](https://github.com/Finspire13/CMCS-Temporal-Action-Localization)
- **Weakly-Supervised Temporal Localization via Occurrence Count Learning** (ICML 2019)
- (MAAN) **Marginalized Average Attentional Network for Weakly-Supervised Learning** (ICLR2019)[CODE.pytorch](https://github.com/yyuanad/MAAN)
- (MAAN) **Marginalized Average Attentional Network for Weakly-Supervised Learning** (ICLR 2019)[CODE.pytorch](https://github.com/yyuanad/MAAN)
- (WSGN) **Weakly Supervised Gaussian Networks for Action Detection** (Arxiv 2019.4)
- (RefineLoc) **RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization** (Arxiv 2019.4)
- (RefineLoc) **RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization** (arXiv 2019)
- (STAR) **Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection** (AAAI 2019)
- (TSRNet) **Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision** (AAAI 2019)
- (StepByStep) **Step-by-step Erasion, One-by-one Collection: AWeakly Supervised Temporal Action Detector** (MM 2018)
- (StepByStep) **Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector** (ACMMM 2018)
- (W-TALC) **W-TALC: Weakly-supervised Temporal Activity Localization and Classification** (ECCV 2018) [CODE.pytorch](https://github.com/sujoyp/wtalc-pytorch)
- (AutoLoc) **AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos** (ECCV 2018) [CODE.caffe](https://github.com/zhengshou/AutoLoc)
- (STPN) **Weakly Supervised Action Localization by Sparse Temporal Pooling Network** (CVPR 2018) [CODE.tensorflow.unofficial](https://github.com/bellos1203/STPN)
Expand Down Expand Up @@ -65,12 +69,14 @@ These methods are listed in chronological order.

| Method | Feature | IoU-> | 0.1 | 0.2 | 0.3 | 0.4 | 0.5 | 0.6 | 0.7 |
| :----: | :----: | :----:|:----:|:----:|:----:| :----: | :----: | :----: |:----:|
| BaSNet | I3D | |58.2 | 52.3 | 44.6 | 36.0 | **27.0** | **18.6** | **10.4**|
| A2CL-PT | I3D | |61.2 | 56.1 | 48.1 | **39.0** | **30.1** | 19.2 | 10.6|
| DGAM | I3D | |60.0 | 54.2 | 46.8 | 38.2 | 28.8 | **19.8** | **11.4**|
| BaSNet | I3D | |58.2 | 52.3 | 44.6 | 36.0 | 27.0 | 18.6 | 10.4|
| 3C-Net | I3D | |59.1 | 53.5 | 44.2 | 34.1 | 26.6 | | 8.1|
| TSM | I3D | | | | 39.5 | 31.9 | 24.5 | 13.8 | 7.1|
| CleanNet| UNet | | | | 37.0 | 30.9 | 23.9 | 13.9 | 7.1|
| BM| I3D | | 60.4 | 56.0 | 46.6 | 37.5 | 26.8 | 17.6 | 8.6|
| ASSG| I3D | | 65.6 | 59.4 | **50.4** | **38.7** | 25.4 | 15.0 | 6.6|
| ASSG| I3D | | 65.6 | 59.4 | **50.4** | 38.7 | 25.4 | 15.0 | 6.6|
| MAAN | I3D | | 59.8 | 50.8 | 41.1 | 30.6 | 20.3 | 12.0 | 6.9|
| CMCS | I3D | | 57.4 | 50.8 | 41.2 | 32.1 | 23.1 | 15.0 | 7.0|
| WSGN | I3D | | 55.3 | 47.6 | 38.9 | 30.0 | 21.1 | 13.9 | 8.3|
Expand Down