Research map / Detection and segmentation / Tracking
Online Decision Based Visual Tracking via Reinforcement Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| switch between FCT and SiamFC with learned decision module vs FCT alone (ablation) | DTNet · OTB2015 | AUC: 0.616 -> 0.660 | Helped |
| switch between FCT and SiamFC vs SiamFC alone (ablation) | DTNet · OTB2015 | AUC: 0.582 -> 0.660 | Helped |
| learned HRL decision module vs manually designed rule-based switch (ablation) | DTNet · OTB2015 | AUC: 0.544 -> 0.660 | Helped |
| learned decision module vs rule-based switch (ablation) | DTNet · LaSOT | AUC: 0.283 -> 0.360 | Helped |
| learned decision module vs rule-based switch (ablation) | DTNet · speed | fps: 19 -> 36 | Helped |
| add third tracker (ACT+FCT+SiamFC vs FCT+SiamFC) (ablation) | DTNet · OTB2015 | AUC: 0.660 -> 0.665 | Helped |
| add third tracker (ACT+FCT+SiamFC vs FCT+SiamFC) (ablation) | DTNet · speed | fps: 36 -> 23 | Hurt |
| combine ATOM and SiamRPN++ with decision module (ablation) | DTNet · OTB2015 | AUC: 0.696 -> 0.701 | Helped |
| combine ATOM and SiamRPN++ with decision module (ablation) | DTNet · LaSOT | AUC: 0.515 -> 0.516 | Helped |
| combine ACT and SiamFC with decision module (ablation) | DTNet · VOT18 | EAO: 0.296 -> 0.303 vs ACT | Mixed |
Closest papers by meaning
- Visual Tracking via Hierarchical Deep Reinforcement Learning (AAAI 2021 · similarity 0.92)
- POST: POlicy-Based Switch Tracking (AAAI 2020 · similarity 0.90)
- Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning (CVPR 2017 · similarity 0.89)
- End-to-end Active Object Tracking via Reinforcement Learning (ICML 2018 · similarity 0.88)
- RELO: Reinforcement Learning to Localize for Visual Object Tracking (ICML 2026 · similarity 0.86)
- Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision (NeurIPS 2025 · similarity 0.85)
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