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Weakly Supervised Action Localization by Sparse Temporal Pooling Network
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add sparse attention-weighted temporal pooling and an ℓ1 sparsity loss (ablation) | STPN action classification and localization · THUMOS14 | AP | Helped |
| Add attention-weighted pooling (ablation) | STPN · THUMOS14 | AP | Helped |
| Add an ℓ1 sparsity loss on attention weights (ablation) | STPN · THUMOS14 | AP | Helped |
| Use optical flow rather than RGB features (ablation) | STPN modality input · THUMOS14 | AP | Helped |
| Combine RGB and optical-flow features (ablation) | STPN modality input · THUMOS14 | AP | Helped |
| Replace I3D features with UntrimmedNet features | STPN · THUMOS14 | AP@IoU 0.1: 52.0 -> 45.3 | Hurt |
Closest papers by meaning
- Action Unit Memory Network for Weakly Supervised Temporal Action Localization (CVPR 2021 · similarity 0.93)
- Temporal Action Localization in Untrimmed Videos via Multi-Stage CNNs (CVPR 2016 · similarity 0.92)
- Two-Stream Networks for Weakly-Supervised Temporal Action Localization With Semantic-Aware Mechanisms (CVPR 2023 · similarity 0.91)
- Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization (CVPR 2019 · similarity 0.91)
- Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context (AAAI 2021 · similarity 0.91)
- Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature (AAAI 2024 · similarity 0.90)
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