Research map / Detection and segmentation / Open-set and few-shot detection
Primary Object Segmentation in Videos Based on Region Augmentation and Reduction
Check your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add iterative augmentation and reduction refinement to initial regions (ablation) | Primary object segmentation · DAVIS | J Mean: 0.719 -> 0.763 | Helped |
| Add iterative augmentation and reduction refinement to initial regions (ablation) | Primary object segmentation · DAVIS | F Mean: 0.680 -> 0.711 | Helped |
| Replace ARP with GMM-based refinement [20] (ablation) | Initial primary object regions · DAVIS | J Mean: 0.719 -> 0.580 | Hurt |
| Replace ARP with GMM-based refinement [36] (ablation) | Initial primary object regions · DAVIS | J Mean: 0.719 -> 0.670 | Hurt |
| Use ARP instead of GMM-based refinement (ablation) | Primary object segmentation · DAVIS | J Mean: 0.580 -> 0.763 | Helped |
| Use ARP instead of GMM-based refinement (ablation) | Primary object segmentation · DAVIS | J Mean: 0.670 -> 0.763 | Helped |
| Use ARP rather than the strongest listed baseline | Primary object segmentation · DAVIS | J Mean: 0.665 -> 0.763 | Helped |
| Use the proposed segmentation algorithm rather than [20] | Primary object segmentation · FBMS test | Average IoU: 0.555 -> 0.598 | Helped |
Closest papers by meaning
- Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions (CVPR 2016 · similarity 0.87)
- Breaking the "Object" in Video Object Segmentation (CVPR 2023 · similarity 0.87)
- Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation (AAAI 2024 · similarity 0.85)
- M^3-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation (CVPR 2025 · similarity 0.84)
- Using Diffusion Priors for Video Amodal Segmentation (CVPR 2025 · similarity 0.84)
- Minimizing Labeled, Maximizing Unlabeled: An Image-Driven Approach for Video Instance Segmentation (CVPR 2025 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
