Research map / Detection and segmentation / Weakly supervised detection and segmentation
CLIMS: Cross Language Image Matching for Weakly Supervised Semantic 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 BTM to OTM (ablation) | CLIMS initial CAM generation · PASCAL VOC2012 train | mIoU (%): 37.2 -> 41.3 | Helped |
| Add area regularization to OTM and BTM (ablation) | CLIMS initial CAM generation · PASCAL VOC2012 train | mIoU (%): 41.3 -> 53.1 | Helped |
| Add CBS to OTM and BTM (ablation) | CLIMS initial CAM generation · PASCAL VOC2012 train | mIoU (%): +3.5% | Helped |
| Add CBS to OTM and BTM (ablation) | CLIMS · PASCAL VOC2012 train, boat | IoU (%): 7.1 -> 58.2 | Helped |
| Add CBS to OTM and BTM (ablation) | CLIMS · PASCAL VOC2012 train, train | IoU (%): 30.7 -> 63.9 | Helped |
| Replace the CLIP evaluator with a pretrained VGG-16 classifier (ablation) | CLIMS initial CAM generation · PASCAL VOC2012 train | mIoU (%): 37.2 -> 28.6 | Hurt |
| Use OTM, BTM, REG, and CBS together (ablation) | CLIMS initial CAM generation · PASCAL VOC2012 train | mIoU (%): 53.1 -> 56.6 | Helped |
| Vary the loss weights within the reported ranges (ablation) | CLIMS · PASCAL VOC2012 train | mIoU (%) | No clear effect |
Closest papers by meaning
- Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation (CVPR 2024 · similarity 0.89)
- CLIM: Contrastive Language-Image Mosaic for Region Representation (AAAI 2024 · similarity 0.88)
- Class Tokens Infusion for Weakly Supervised Semantic Segmentation (CVPR 2024 · similarity 0.88)
- Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation (AAAI 2024 · similarity 0.88)
- Training-free Open-Vocabulary Semantic Segmentation via Diverse Prototype Construction and Sub-region Matching (AAAI 2025 · similarity 0.88)
- Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion (CVPR 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.