Research map / Detection and segmentation / Open-set and few-shot detection
Learning Position and Target Consistency for Memory-Based Video Object Segmentation
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 Position Guidance Module (PGM) (ablation) | LCM · DAVIS 2017 validation, no pre-training | Overall: 77.8 -> 79.2 | Helped |
| Add Object Relation Module (ORM) (ablation) | LCM · DAVIS 2017 validation, no pre-training | Overall: 78.4 -> 79.2 | Helped |
| Add both PGM and ORM (ablation) | LCM with GRM · DAVIS 2017 validation, no pre-training | Overall: 76.9 -> 79.2 | Helped |
| Add Global Retrieval Module (GRM) (ablation) | LCM with PGM and ORM · DAVIS 2017 validation, no pre-training | Overall: 67.5 -> 79.2 | Helped |
| Add sequence fine-tuning (ablation) | LCM training strategy · DAVIS 2017 validation | Avg: 82.9 -> 83.5 | Helped |
| Add training with no temporal sampling limit (ablation) | LCM training strategy · DAVIS 2017 validation | Avg: 80.7 -> 83.5 | Helped |
| Use sequence training alone with pre-training, rather than no-limit temporal training (ablation) | LCM training strategy · DAVIS 2017 validation | Avg: 82.9 -> 80.7 | Hurt |
Closest papers by meaning
- Efficient Regional Memory Network for Video Object Segmentation (CVPR 2021 · similarity 0.90)
- Per-Clip Video Object Segmentation (CVPR 2022 · similarity 0.89)
- Point-VOS: Pointing Up Video Object Segmentation (CVPR 2024 · similarity 0.89)
- LiVOS: Light Video Object Segmentation with Gated Linear Matching (CVPR 2025 · similarity 0.89)
- RMem: Restricted Memory Banks Improve Video Object Segmentation (CVPR 2024 · similarity 0.87)
- Learning Spatial-Semantic Features for Robust Video Object Segmentation (ICLR 2025 · similarity 0.87)
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.