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Temporal Context Aggregation Network for Temporal Action Proposal Refinement
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add TCANet refinement to BMN proposals | BMN on HACS · HACS | average mAP: 35.76 -> 39.77 | Helped |
| Add TCANet refinement to BMN proposals | BMN with SlowFast features · ActivityNet-v1.3 | average mAP: 35.28 -> 37.56 | Helped |
| Add frame-level boundary regression to segment-level regression (ablation) | TCANet on HACS · HACS | average mAP: 38.22 -> 38.71 | Helped |
| Use frame-level regression without segment-level regression (ablation) | TCANet on HACS · HACS | average mAP: 38.22 -> 37.92 | Hurt |
| Add LGTE to BMN (ablation) | BMN on HACS · HACS | average mAP: 35.76 -> 37.76 | Helped |
| Add LGTE to TCANet (ablation) | TCANet on HACS · HACS | average mAP: 37.78 -> 38.71 | Helped |
| Add progressive TBR refinement stages (ablation) | TCANet on HACS · HACS | average mAP: 35.76 -> 37.16; 37.16 -> 37.45; 37.45 -> 37.78 | Helped |
| Set the LGTE local window size to 9 rather than 5 (ablation) | TCANet on HACS · HACS | average mAP: 38.41 -> 38.71 | Helped |
| Use GTE only instead of local-global temporal encoding (ablation) | TCANet on HACS · HACS | average mAP: 38.37 -> 38.71 | Hurt |
| Set LGTE channel groups to 8 rather than 2, 4, or 16 (ablation) | TCANet on HACS · HACS | average mAP: 38.49; 38.38; 38.56 -> 38.71 | Helped |
| Increase LGTE layers from 0 to 4 (ablation) | TCANet on HACS · HACS | average mAP: 37.78 -> 38.85 | Helped |
| Increase LGTE layers from 4 to 6 (ablation) | TCANet on HACS · HACS | average mAP: 38.85 -> 38.80 | Hurt |
Closest papers by meaning
- DCAN: Improving Temporal Action Detection via Dual Context Aggregation (AAAI 2022 · similarity 0.92)
- BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation (AAAI 2021 · similarity 0.90)
- Fast Learning of Temporal Action Proposal via Dense Boundary Generator (AAAI 2020 · similarity 0.89)
- MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation (CVPR 2019 · similarity 0.89)
- HyrCap: Hybrid Rank-Calibration of Action Proposals for Temporal Event Understanding (NeurIPS 2026 · similarity 0.89)
- Temporal Action Proposal Generation with Background Constraint (AAAI 2022 · similarity 0.89)
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