Research map / Detection and segmentation / Weakly supervised detection and segmentation
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use pixel-to-segment contrastive learning with the SPML framework | Weakly supervised segmentation on Pascal VOC 2012 image tags · Pascal VOC 2012 val, image tags | mIoU: 67.1 -> 69.5 | Helped |
| Use pixel-to-segment contrastive learning with the SPML framework | Weakly supervised segmentation on Pascal VOC 2012 bounding boxes · Pascal VOC 2012 val, bounding boxes | mIoU: 70.2 -> 73.5 | Helped |
| Use SPML instead of the strongest listed prior method | Pascal VOC 2012 scribble supervision, without CRF · Pascal VOC 2012 val, scribbles | mIoU: 75.6 -> 74.2 | Hurt |
| Apply CRF post-processing | SPML on Pascal VOC 2012 scribbles · Pascal VOC 2012 val, scribbles | mIoU: 74.2 -> 76.1 | Helped |
| Use SPML instead of the prior baseline | DensePose point-supervised segmentation · DensePose minival 2014 | mIoU: 31.3 -> 44.2 | Helped |
| Add low-level image similarity regularization (ablation) | SPML on Pascal VOC 2012 scribbles · Pascal VOC 2012 val | mIoU: 71.2 -> 72.8 | Helped |
| Add semantic co-occurrence regularization (ablation) | SPML on Pascal VOC 2012 scribbles · Pascal VOC 2012 val | mIoU: 72.8 -> 74.2 | Helped |
| Add feature affinity regularization (ablation) | SPML on Pascal VOC 2012 scribbles · Pascal VOC 2012 val | mIoU: 74.2 -> 73.8 | Hurt |
| Increase low-level similarity weight from λI=0.1 to λI=0.3 (ablation) | SPML on Pascal VOC 2012 scribbles with λO=0.5 · Pascal VOC 2012 val | mIoU: 74.2 -> 73.7 | Hurt |
| Reduce low-level similarity weight from λI=0.1 to λI=0.05 (ablation) | SPML on Pascal VOC 2012 scribbles with λO=0.5 · Pascal VOC 2012 val | mIoU: 74.2 -> 73.5 | Hurt |
| Remove low-level image similarity regularization (ablation) | SPML on Pascal VOC 2012 scribbles with λO=0.5 · Pascal VOC 2012 val | mIoU: 74.2 -> 71.7 | Hurt |
| Remove semantic co-occurrence regularization (ablation) | SPML on Pascal VOC 2012 scribbles with λI=0.1 · Pascal VOC 2012 val | mIoU: 74.2 -> 72.8 | Hurt |
Closest papers by meaning
- Combining Bottom-Up, Top-Down, and Smoothness Cues for Weakly Supervised Image Segmentation (CVPR 2017 · similarity 0.92)
- Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach (AAAI 2020 · similarity 0.91)
- Weakly-Supervised Semantic Segmentation via Sub-Category Exploration (CVPR 2020 · similarity 0.90)
- Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation (CVPR 2024 · similarity 0.90)
- WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels (CVPR 2025 · similarity 0.89)
- Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label (AAAI 2024 · similarity 0.89)
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