Papers › A Strong Baseline for Generalized Few-Shot Semantic Segmentation
A Strong Baseline for Generalized Few-Shot Semantic Segmentation
Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz
This paper introduces a generalized few-shot segmentation framework with a straightforward training process and an easy-to-optimize inference phase. In particular, we propose a simple yet effective model based on the well-known InfoMax principle, where the Mutual Information (MI) between the learned feature representations and their corresponding predictions is maximized. In addition, the terms derived from our MI-based formulation are coupled with a knowledge distillation term to retain the knowledge on base classes. With a simple training process, our inference model can be applied on top of any segmentation network trained on base classes. The proposed inference yields substantial improvements on the popular few-shot segmentation benchmarks, PASCAL-5ⁱ and COCO-20ⁱ. Particularly, for novel classes, the improvement gains range from 7% to 26% (PASCAL-5ⁱ) and from 3% to 12% (COCO-20ⁱ) in the 1-shot and 5-shot scenarios, respectively. Furthermore, we propose a more challenging setting, where performance gaps are further exacerbated. Our code is publicly available at https://github.com/sinahmr/DIaM.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Generalized Few-Shot Semantic Segmentation | COCO-20i (1-shot) | DIaM (ResNet-50) | Mean Base and Novel | 32.75 | #4 of 6 | Archive leaderboard | report |
| Generalized Few-Shot Semantic Segmentation | COCO-20i (1-shot) | DIaM (ResNet-50) | Mean IoU | 40.52 | #4 of 6 | Archive leaderboard | report |
| Generalized Few-Shot Semantic Segmentation | COCO-20i (5-shot) | DIaM (ResNet-50) | Mean Base and Novel | 38.55 | #4 of 5 | Archive leaderboard | report |
| Generalized Few-Shot Semantic Segmentation | COCO-20i (5-shot) | DIaM (ResNet-50) | Mean IoU | 43.46 | #4 of 5 | Archive leaderboard | report |
| Generalized Few-Shot Semantic Segmentation | PASCAL-5i (1-Shot) | DIaM (ResNet-50) | Mean Base and Novel | 53 | #4 of 5 | Archive leaderboard | report |
| Generalized Few-Shot Semantic Segmentation | PASCAL-5i (1-Shot) | DIaM (ResNet-50) | Mean IoU | 61.95 | #4 of 5 | Archive leaderboard | report |
| Generalized Few-Shot Semantic Segmentation | PASCAL-5i (5-Shot) | DIaM (ResNet-50) | Mean Base and Novel | 63.08 | #4 of 6 | Archive leaderboard | report |
| Generalized Few-Shot Semantic Segmentation | PASCAL-5i (5-Shot) | DIaM (ResNet-50) | Mean IoU | 66.97 | #4 of 6 | Archive leaderboard | report |
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Methods
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