Research map / Detection and segmentation / CNN features
Learning Activity Progression in LSTMs for Activity Detection and Early Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add ranking loss on detection score (ablation) | LSTM · ActivityNet activity detection, α = 0.5 | mAP: 31.3% -> 36.4% | Helped |
| Add ranking loss on discriminative margin (ablation) | LSTM · ActivityNet activity detection, α = 0.5 | mAP: 31.3% -> 35.1% | Helped |
| Add ranking loss on detection score (ablation) | LSTM · ActivityNet activity detection, α = 0.8 | mAP: 24.6% -> 28.7% | Helped |
| Add ranking loss on discriminative margin (ablation) | LSTM · ActivityNet activity detection, α = 0.8 | mAP: 24.6% -> 27.2% | Helped |
| Add ranking loss on detection score (ablation) | LSTM · ActivityNet early detection, first 3/10 observed, α = 0.5 | mAP: 29.6% -> 34.1% | Helped |
| Add ranking loss on discriminative margin (ablation) | LSTM · ActivityNet early detection, first 3/10 observed, α = 0.5 | mAP: 29.6% -> 31.4% | Helped |
| Combine both ranking losses (ablation) | LSTM · ActivityNet | mAP | No clear effect |
Closest papers by meaning
- Weakly-Guided Self-Supervised Pretraining for Temporal Activity Detection (AAAI 2023 · similarity 0.88)
- A Hierarchical Deep Temporal Model for Group Activity Recognition (CVPR 2016 · similarity 0.88)
- CERN: Confidence-Energy Recurrent Network for Group Activity Recognition (CVPR 2017 · similarity 0.87)
- Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters (AAAI 2017 · similarity 0.86)
- ZSTAD: Zero-Shot Temporal Activity Detection (CVPR 2020 · similarity 0.86)
- HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors (AAAI 2024 · similarity 0.83)
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