FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network

Open paper
Benchmark Model Rank Results
few-shot-semantic-segmentation-on-coco-20i-1FECANet (ResNet-50)#49Mean IoU: 41.6FB-IoU: 69.6
few-shot-semantic-segmentation-on-coco-20i-1FECANet (VGG-16)#63Mean IoU: 35.4FB-IoU: 65.5
few-shot-semantic-segmentation-on-coco-20i-10FECANet (ResNet-50)#2Mean IoU: 49.6
few-shot-semantic-segmentation-on-coco-20i-5FECANet (ResNet-50)#48Mean IoU: 47.6FB-IoU: 71.1
few-shot-semantic-segmentation-on-coco-20i-5FECANet (VGG-16)#61Mean IoU: 41.5FB-IoU: 67.7
few-shot-semantic-segmentation-on-pascal-5iFECANet (ResNet-50)#2Mean IoU: 71.5
few-shot-semantic-segmentation-on-pascal-5i-1FECANet (ResNet-50)#24Mean IoU: 67.4FB-IoU: 78.7
few-shot-semantic-segmentation-on-pascal-5i-1FECANet (VGG-16)#51Mean IoU: 64.3FB-IoU: 76.2
few-shot-semantic-segmentation-on-pascal-5i-5FECANet (ResNet-50)#37Mean IoU: 70FB-IoU: 80.7
few-shot-semantic-segmentation-on-pascal-5i-5FECANet (VGG-16)#57Mean IoU: 66.7FB-IoU: 77.6

Rank counts only results with a code link.