Research map / Label-efficient and robust learning / Semi-supervised learning
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference
Read the paperCheck 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 |
|---|---|---|---|
| use GuidedMix-Net instead of GCT | PASCAL VOC 2012 semi-supervised segmentation · PASCAL VOC 2012 val, 1/8 labels | mIoU: 70.7 -> 73.4 | Helped |
| use GuidedMix-Net instead of GCT | PASCAL VOC 2012 semi-supervised segmentation · PASCAL VOC 2012 val, 1/4 labels | mIoU: 72.8 -> 75.5 | Helped |
| use GuidedMix-Net instead of GCT | PASCAL VOC 2012 semi-supervised segmentation · PASCAL VOC 2012 val, 1/2 labels | mIoU: 74.0 -> 76.5 | Helped |
| use GuidedMix-Net instead of CCT | PASCAL VOC 2012 semi-supervised segmentation · PASCAL VOC 2012 val, 500 labels | mIoU: 58.6 -> 65.4 | Helped |
| use GuidedMix-Net instead of ReCo | Cityscapes semi-supervised segmentation · Cityscapes val, 1/8 labels | mIoU: 64.9 -> 65.8 | Helped |
| use GuidedMix-Net instead of ReCo | Cityscapes semi-supervised segmentation · Cityscapes val, 1/4 labels | mIoU: 67.5 -> 67.5 | No clear effect |
| match similar labeled-unlabeled image pairs rather than choose pairs randomly (ablation) | GuidedMix-Net · PASCAL VOC 2012 val | mIoU: 71.9 -> 73.7 | Helped |
| add MITrans to transfer long-range feature information (ablation) | GuidedMix-Net · PASCAL VOC 2012 val | mIoU: 72.7 -> 73.7 | Helped |
| use soft rather than hard decoupling (ablation) | GuidedMix-Net · PASCAL VOC 2012 val | mIoU: 71.4 -> 73.7 | Helped |
| use MITrans when training with labeled samples only (ablation) | GuidedMix-Net supervised-only setting · PASCAL VOC 2012 val | mIoU: 70.2 -> 70.5 | No clear effect |
| increase the lambda range from < 0.1 to < 0.5 (ablation) | GuidedMix-Net · PASCAL VOC 2012 val | mIoU: 67.9 -> 73.7 | Helped |
| use lambda < 0.3 rather than lambda < 0.2 (ablation) | GuidedMix-Net · Cityscapes val, 1/8 labels | mIoU: 64.0 -> 65.8 | Helped |
Closest papers by meaning
- Transferable Semi-Supervised Semantic Segmentation (AAAI 2018 · similarity 0.90)
- Semi-Supervised Semantic Segmentation With Error Localization Network (CVPR 2022 · similarity 0.90)
- Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity (CVPR 2025 · similarity 0.89)
- AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation (CVPR 2024 · similarity 0.89)
- RWMS: Reliable Weighted Multi-Phase for Semi-supervised Segmentation (AAAI 2024 · similarity 0.88)
- SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation (CVPR 2025 · similarity 0.88)
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.