Papers › Self-Support Few-Shot Semantic Segmentation
Self-Support Few-Shot Semantic Segmentation
Qi Fan, Wenjie Pei, Yu-Wing Tai, Chi-Keung Tang
Existing few-shot segmentation methods have achieved great progress based on the support-query matching framework. But they still heavily suffer from the limited coverage of intra-class variations from the few-shot supports provided. Motivated by the simple Gestalt principle that pixels belonging to the same object are more similar than those to different objects of same class, we propose a novel self-support matching strategy to alleviate this problem, which uses query prototypes to match query features, where the query prototypes are collected from high-confidence query predictions. This strategy can effectively capture the consistent underlying characteristics of the query objects, and thus fittingly match query features. We also propose an adaptive self-support background prototype generation module and self-support loss to further facilitate the self-support matching procedure. Our self-support network substantially improves the prototype quality, benefits more improvement from stronger backbones and more supports, and achieves SOTA on multiple datasets. Codes are at \url{https://github.com/fanq15/SSP}.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Few-Shot Semantic Segmentation | COCO-20i (1-shot) | SSP (ResNet-101) | Mean IoU | 42 | #53 of 85 | Archive leaderboard | report |
| Few-Shot Semantic Segmentation | COCO-20i (1-shot) | SSP (ResNet-50) | Mean IoU | 37.4 | #69 of 85 | Archive leaderboard | report |
| Few-Shot Semantic Segmentation | COCO-20i (5-shot) | SSP (ResNet-101) | Mean IoU | 50.2 | #38 of 81 | Archive leaderboard | report |
| Few-Shot Semantic Segmentation | COCO-20i (5-shot) | SSP (ResNet-50) | Mean IoU | 44.1 | #64 of 81 | Archive leaderboard | report |
| Few-Shot Semantic Segmentation | FSS-1000 (1-shot) | SSP | Mean IoU | 87.3 | #15 of 24 | Archive leaderboard | report |
| Few-Shot Semantic Segmentation | FSS-1000 (5-shot) | SSP | Mean IoU | 88.6 | #13 of 22 | Archive leaderboard | report |
| Few-Shot Semantic Segmentation | PASCAL-5i (1-Shot) | SSP (ResNet-101) | Mean IoU | 64.6 | #57 of 105 | Archive leaderboard | report |
| Few-Shot Semantic Segmentation | PASCAL-5i (1-Shot) | SSP (ResNet-50) | Mean IoU | 61.4 | #75 of 105 | Archive leaderboard | report |
| Few-Shot Semantic Segmentation | PASCAL-5i (5-Shot) | SSP (ResNet-101) | Mean IoU | 73.1 | #15 of 96 | Archive leaderboard | report |
| Few-Shot Semantic Segmentation | PASCAL-5i (5-Shot) | SSP (ResNet-50) | Mean IoU | 69.3 | #48 of 96 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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