Papers › Interclass Prototype Relation for Few-Shot Segmentation

Interclass Prototype Relation for Few-Shot Segmentation

16 Nov 2022arXiv:2211.08681archive 2025-07-28

Atsuro Okazawa

Traditional semantic segmentation requires a large labeled image dataset and can only be predicted within predefined classes. To solve this problem, few-shot segmentation, which requires only a handful of annotations for the new target class, is important. However, with few-shot segmentation, the target class data distribution in the feature space is sparse and has low coverage because of the slight variations in the sample data. Setting the classification boundary that properly separates the target class from other classes is an impossible task. In particular, it is difficult to classify classes that are similar to the target class near the boundary. This study proposes the Interclass Prototype Relation Network (IPRNet), which improves the separation performance by reducing the similarity between other classes. We conducted extensive experiments with Pascal-5i and COCO-20i and showed that IPRNet provides the best segmentation performance compared with previous research.

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Tasks

Few-Shot Semantic SegmentationRelation NetworkSegmentationSemantic Segmentation

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Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Few-Shot Semantic Segmentation COCO-20i (1-shot) IPRNet (ResNet-101) Mean IoU 46.9 #21 of 85 Archive leaderboard report
Few-Shot Semantic Segmentation COCO-20i (1-shot) IPRNet (ResNet-50) Mean IoU 45.3 #34 of 85 Archive leaderboard report
Few-Shot Semantic Segmentation COCO-20i (5-shot) IPRNet (ResNet-101) Mean IoU 53.3 #25 of 81 Archive leaderboard report
Few-Shot Semantic Segmentation COCO-20i (5-shot) IPRNet (ResNet-50) Mean IoU 51.1 #32 of 81 Archive leaderboard report
Few-Shot Semantic Segmentation PASCAL-5i (1-Shot) IPRNet (ResNet-101) Mean IoU 67.5 #27 of 105 Archive leaderboard report
Few-Shot Semantic Segmentation PASCAL-5i (1-Shot) IPRNet (ResNet-50) Mean IoU 65.7 #47 of 105 Archive leaderboard report
Few-Shot Semantic Segmentation PASCAL-5i (5-Shot) IPRNet (ResNet-101) Mean IoU 70.9 #34 of 96 Archive leaderboard report
Few-Shot Semantic Segmentation PASCAL-5i (5-Shot) IPRNet (ResNet-50) Mean IoU 70.2 #40 of 96 Archive leaderboard report

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