Research map / Video / Video segmentation and tracking
Dynamic Face Video Segmentation via Reinforcement Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the reinforcement-learning key scheduler instead of the evaluated baseline schedulers | Dynamic video segmentation · 300VW | mIoU | Helped |
| Use the reinforcement-learning key scheduler instead of the evaluated baseline schedulers | Dynamic video segmentation · 300VW | FPS | Helped |
| Use the reinforcement-learning key scheduler instead of the evaluated baseline schedulers | Dynamic video segmentation · Cityscapes | mIoU | Helped |
| Allow a larger key-selection frequency limit (ablation) | RL key scheduler · 300VW training | episode return | Helped |
Closest papers by meaning
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- Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning (AAAI 2024 · similarity 0.84)
- SAM-R1: Leveraging SAM for Reward Feedback in Multimodal Segmentation via Reinforcement Learning (NeurIPS 2025 · similarity 0.83)
- LENS: Learning to Segment Anything with Unified Reinforced Reasoning (AAAI 2026 · similarity 0.83)
- Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater (CVPR 2025 · similarity 0.83)
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