Research map / Detection and segmentation / Tracking
Superpixel-Based Tracking-By-Segmentation Using Markov Chains
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add SVR-learned scores to define edge weights instead of Lab-color distances (ablation) | AMCT · NR, GBS, VS, ST2, DAVIS | average overlap ratio (segmentation masks): 23.1 -> 58.6; 53.0 -> 74.8; 71.4 -> 84.1; 47.2 -> 58.8; 41.2 -> 59.2 | Helped |
| Add a holistic target appearance model to select among connected-component candidates (ablation) | AMCT · NR, GBS, VS, ST2, DAVIS | average overlap ratio (segmentation masks): 49.3 -> 58.6; 70.4 -> 74.8; 83.8 -> 84.1; 60.7 -> 58.8; 56.9 -> 59.2 | Helped |
| Add CNN feature descriptors to Lab color features for SVR (ablation) | AMCT · NR, GBS, VS, ST2, DAVIS | average overlap ratio (segmentation masks): 58.6 -> 66.3; 74.8 -> 77.1; 84.1 -> 82.3; 58.8 -> 71.3; 59.2 -> 65.1 | Mixed |
| Use CNN features and ground-truth first-frame masks for online video segmentation | AMCT+CNN* · NR, GBS, VS, ST2, DAVIS | average overlap ratio (online video segmentation): 66.4 vs 41.6; 79.0 vs 76.5; 89.7 vs 88.8; 74.5 vs 69.5; 73.2 vs 70.7 | Helped |
Closest papers by meaning
- Hierarchical Histogram Threshold Segmentation - Auto-terminating High-detail Oversegmentation (CVPR 2024 · similarity 0.86)
- STEP: Segmenting and Tracking Every Pixel (NeurIPS 2021 · similarity 0.86)
- Differentiable Laplacian Matrix Guided Superpixel Segmentation (CVPR 2026 · similarity 0.85)
- A Distractor-Aware Memory for Visual Object Tracking with SAM2 (CVPR 2025 · similarity 0.83)
- When Trackers Fail: VLM-Guided Verification and Recovery for Robust Video Object Segmentation (NeurIPS 2026 · similarity 0.83)
- Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentation (CVPR 2025 · similarity 0.83)
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