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SotA/Computer Vision/Few-Shot Semantic Segmentation

Few-Shot Semantic Segmentation

28 benchmarks168 papers

Few-shot semantic segmentation (FSS) learns to segment target objects in query image given few pixel-wise annotated support image.

Benchmarks

Few-Shot Semantic Segmentation on PASCAL-5i (1-Shot)

Mean IoU FB-IoU learnable parameters (million)Mean Base and Novel

Few-Shot Semantic Segmentation on PASCAL-5i (5-Shot)

Mean IoU FB-IoU learnable parameters (million)Mean Base and Novel

Few-Shot Semantic Segmentation on COCO-20i (1-shot)

Mean IoU FB-IoU learnable parameters (million)Mean Base and Novel

Few-Shot Semantic Segmentation on COCO-20i (5-shot)

Mean IoU FB-IoU learnable parameters (million)Mean Base and Novel

Few-Shot Semantic Segmentation on FSS-1000 (1-shot)

Mean IoU FB-IoU

Few-Shot Semantic Segmentation on FSS-1000 (5-shot)

Mean IoU FB-IoU mIoU

Few-Shot Semantic Segmentation on COCO-20i -> Pascal VOC (1-shot)

Few-Shot Semantic Segmentation on COCO-20i -> Pascal VOC (5-shot)

Few-Shot Semantic Segmentation on COCO-20i (2-way 1-shot)

Few-Shot Semantic Segmentation on COCO-20i (10-shot)

Few-Shot Semantic Segmentation on PASCAL-5i (10-Shot)

Few-Shot Semantic Segmentation on FSS-1000

Few-Shot Semantic Segmentation on Pascal5i