Research map / Reinforcement learning / Visual and representation RL
Visual Tracking via Hierarchical Deep Reinforcement Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add policy-controlled iterative search and stop decisions to actor-only tracking (ablation) | A3CT on OTB-100 · OTB-100 | precision (20px): 0.568 -> 0.752 | Helped |
| Add policy-controlled iterative search and stop decisions to actor-only tracking (ablation) | A3CT on OTB-100 · OTB-100 | AUC: 0.419 -> 0.567 | Helped |
| Add expert-tracker guidance for correcting bounding boxes (ablation) | PACNet-search on OTB-100 · OTB-100 | precision (20px): 0.752 -> 0.845 | Helped |
| Add expert-tracker guidance for correcting bounding boxes (ablation) | PACNet-search on OTB-100 · OTB-100 | AUC: 0.567 -> 0.642 | Helped |
| Use all policy actions: search, stop, update, and reinit (ablation) | PACNet-expert on OTB-100 · OTB-100 | precision (20px): +3.1% | Helped |
| Use all policy actions: search, stop, update, and reinit (ablation) | PACNet-expert on OTB-100 · OTB-100 | AUC: +2.8% | Helped |
Closest papers by meaning
- Online Decision Based Visual Tracking via Reinforcement Learning (NeurIPS 2020 · similarity 0.92)
- Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning (CVPR 2017 · similarity 0.91)
- End-to-end Active Object Tracking via Reinforcement Learning (ICML 2018 · similarity 0.88)
- SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks (CVPR 2019 · similarity 0.88)
- POST: POlicy-Based Switch Tracking (AAAI 2020 · similarity 0.87)
- Deeper and Wider Siamese Networks for Real-Time Visual Tracking (CVPR 2019 · similarity 0.87)
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