updated on 04/30/2020
| conference | model | paper | code | |
|---|---|---|---|---|
| 1 | CVPR16 | PSDF | Temporal Action Localization with Pyramid of Score Distribution Features | |
| 2 | CVPR16 | S-CNN | Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs | Caffe |
| 3 | CVPR17 | SST | SST: Single-Stream Temporal Action Proposals | |
| 4 | CVPR17 | CDC | CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos | |
| 5 | ICCV17 | R-C3D | R-C3D: Region Convolutional 3D Network for Temporal Activity Detection | Caffe |
| 6 | ICCV17 | TURN | TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals | |
| 7 | BMVC17 | CBR | Cascaded Boundary Regression for Temporal Action Detection | |
| 8 | AAAI18 | TPC | Exploring Temporal Preservation Networks for Precise Temporal Action | |
| 9 | CVPR18 | TAL-Net | Rethinking the Faster R-CNN Architecture for Temporal Action Localization | |
| 10 | ECCV18 | Action Search | Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization | |
| 11 | ICCV19 | C-TCN | Deep Concept-wise Temporal Convolutional Networks for Action Localization |
| conference | model | paper | code | |
|---|---|---|---|---|
| 1 | ICCV17 | SSN+TAG | Temporal Action Detection with Structured Segment Networks | |
| 2 | ECCV18 | BSN | BSN: Boundary Sensitive Network for Temporal Action Proposal Generation | PyTorch |
| 3 | AAAI19 | DBS | Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos | |
| 4 | CVPR19 | MGG | Multi-Granularity Generator for Temporal Action Proposal | |
| 5 | ICCV19 | P-GCN | Graph Convolutional Networks for Temporal Action Localization | PyTorch |
| 6 | ICCV19 | BMN | BMN: Boundary-Matching Network for Temporal Action Proposal Generation | PyTorch |
| 7 | TOMM19 | RAM | Relation Attention for Temporal Action Localization | |
| 8 | AAAI20 | DBG | Fast Learning of Temporal Action Proposal via Dense Boundary Generator | TensorFlow |
| 9 | TSA-Net | Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos | ||
| 10 | IC+EC | Constraining Temporal Relationship for Action Localization |
| conference | model | paper | code | |
|---|---|---|---|---|
| 1 | CVPR16 | Richard et al. | Temporal Action Detection Using a Statistical Language Model | |
| 2 | CVPR16 | Yeung et al. | End-To-End Learning of Action Detection From Frame Glimpses in Videos | |
| 3 | CVPR17 | SMS | Temporal Action Localization by Structured Maximal Sums | |
| 4 | MM17 | SSAD | Single Shot Temporal Action Detection | |
| 5 | BMVC17 | SS-TAD | End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos | PyTorch |
| 6 | CVPR19 | GTAN | Gaussian Temporal Awareness Networks for Action Localization | |
| 7 | ICME19 | Decouple-SSAD | Decoupling Localization and Classification in Single Shot Temporal Action Detection | |
| 8 | CVPR20 | G-TAD | G-TAD: Sub-Graph Localization for Temporal Action Detection | PyTorch |
| conference | model | paper | code | |
|---|---|---|---|---|
| 1 | CVPR17 | UntrimmedNet | UntrimmedNets for Weakly Supervised Action Recognition and Detection | |
| 2 | CVPR17 | Richard et al. | Weakly Supervised Action Learning With RNN Based Fine-To-Coarse Modeling | |
| 3 | ICCV17 | Hide-and-Seek | Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization | |
| 4 | CVPR18 | STPN | Weakly Supervised Action Localization by Sparse Temporal Pooling Network | |
| 5 | MM18 | Zhong et al. | Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector | |
| 6 | ECCV18 | W-TALC | W-TALC: Weakly-supervised Temporal Activity Localization and Classification | |
| 7 | ECCV18 | AutoLoc | AutoLoc: Weakly-supervised Temporal Action Localization | Caffe |
| 8 | AAAI19 | STAR | Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection | |
| 9 | ICLR19 | MAAN | Marginalized Average Attentional Network for Weakly-Supervised Learning | |
| 10 | CVPR19 | CMCS | Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization | PyTorch |
| 11 | CVPR19 | Moltisanti et al. | Action Recognition from Single Timestamp Supervision in Untrimmed Videos | PyTorch |
| 12 | ICCV19 | Nguyen et al. | Weakly-supervised Action Localization with Background Modeling | |
| 13 | ICCV19 | CleanNet | Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks | |
| 14 | ICCV19 | 3C-Net | 3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization | PyTorch |
| 15 | AAAI20 | BasNet | Background Suppression Network for Weakly-supervised Temporal Action Localization | PyTorch |
| 16 | SF-Net | SF-Net: Single-Frame Supervision for Temporal Action Localization | ||
| 17 | TTC-Loc | Towards Train-Test Consistency for Semi-supervised Temporal Action Localization |