Research map / Detection and segmentation / Open-set and few-shot detection
Bootstrapping Objectness From Videos by Relaxed Common Fate and Visual Grouping
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use RCF instead of MOD | Unsupervised video object segmentation · DAVIS16 | mIoU: 73.9 -> 80.9 | Helped |
| Use RCF instead of GWM* | Unsupervised video object segmentation · STv2 | mIoU: 69.0 -> 76.7 | Helped |
| Use RCF instead of GWM* | Unsupervised video object segmentation · FBMS59 | mIoU: 66.9 -> 69.9 | Helped |
| Add a learnable pixel-wise residual pathway for intra-object motion (ablation) | RCF · DAVIS16 | J: 71.1 -> 78.9 (+7.8) | Helped |
| Add low-level appearance refinement (ablation) | RCF with residual pathway · DAVIS16 | J: 78.9 -> 79.9 | Helped |
| Add the semantic constraint (ablation) | RCF with low-level refinement · DAVIS16 | J: 79.9 -> 80.9 | Helped |
| Apply CRF post-processing (ablation) | RCF · DAVIS16 | J: 80.9 -> 83.0 | Helped |
| Replace the pixel-wise residual pathway with robust loss, scaling, or affine residual (ablation) | RCF stage 1 · DAVIS16 | J: 78.9 vs 74.0; 73.8; 76.3 | Hurt |
| Add explicit camera-motion modeling and remove the estimated motion before training (ablation) | RCF stage 1 · DAVIS16 | J: 78.9 -> 77.9 | Hurt |
| Add stage 2 appearance refinement (ablation) | RCF · DAVIS16 | J: 78.9 -> 80.9 | Helped |
| Apply CRF post-processing (ablation) | RCF with stage 1 and 2 · DAVIS16 | J: 80.9 -> 83.0 (+2.1) | Helped |
| Use optical flow from ARFlow, PWCNet, or GMFlow instead of RAFT (ablation) | RCF stage 1 · DAVIS16 | J: 78.9 -> 70.3; 74.8; 76.6 | Hurt |
Closest papers by meaning
- Learning Segmentation from Point Trajectories (NeurIPS 2024 · similarity 0.87)
- M^3-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation (CVPR 2025 · similarity 0.87)
- Segment Any Motion in Videos (CVPR 2025 · similarity 0.87)
- Using Diffusion Priors for Video Amodal Segmentation (CVPR 2025 · similarity 0.87)
- Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli (NeurIPS 2024 · similarity 0.87)
- GMOS: Grounding Moving Object Segmentation in 3D Space and Time (NeurIPS 2026 · similarity 0.86)
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