Hypercorrelation Squeeze for Few-Shot Segmentation

Benchmark Model Rank Results
few-shot-semantic-segmentation-on-coco-20i-1HSNet (ResNet-101)#53Mean IoU: 41.2FB-IoU: 69.1learnable parameters (million): 2.5
few-shot-semantic-segmentation-on-coco-20i-1HSNet (ResNet-50)#56Mean IoU: 39.2FB-IoU: 68.2learnable parameters (million): 2.5
few-shot-semantic-segmentation-on-coco-20i-5HSNet (ResNet-101)#35Mean IoU: 49.5FB-IoU: 72.4learnable parameters (million): 2.5
few-shot-semantic-segmentation-on-coco-20i-5HSNet (ResNet-50)#50Mean IoU: 46.9FB-IoU: 70.7learnable parameters (million): 2.5
few-shot-semantic-segmentation-on-fss-1000-1HSNet (ResNet-101)#17Mean IoU: 86.5
few-shot-semantic-segmentation-on-fss-1000-1HSNet (ResNet-50)#21Mean IoU: 85.5
few-shot-semantic-segmentation-on-fss-1000-1HSNet (VGG-16)#23Mean IoU: 82.3
few-shot-semantic-segmentation-on-fss-1000-5HSNet (ResNet-101)#14Mean IoU: 88.5
few-shot-semantic-segmentation-on-fss-1000-5HSNet (ResNet-50)#18Mean IoU: 87.8
few-shot-semantic-segmentation-on-fss-1000-5HSNet (VGG-16)#20Mean IoU: 85.8
few-shot-semantic-segmentation-on-pascal-5i-1HSNet (ResNet-101)#34Mean IoU: 66.2FB-IoU: 77.6learnable parameters (million): 2.5
few-shot-semantic-segmentation-on-pascal-5i-1HSNet (ResNet-50)#54Mean IoU: 64.0FB-IoU: 76.7learnable parameters (million): 2.5
few-shot-semantic-segmentation-on-pascal-5i-1HSNet (VGG-16)#71Mean IoU: 59.7FB-IoU: 73.4
few-shot-semantic-segmentation-on-pascal-5i-5HSNet (ResNet-101)#33Mean IoU: 70.4FB-IoU: 80.6learnable parameters (million): 2.5
few-shot-semantic-segmentation-on-pascal-5i-5HSNet (ResNet-50)#39Mean IoU: 69.5FB-IoU: 80.6learnable parameters (million): 2.5
few-shot-semantic-segmentation-on-pascal-5i-5HSNet (VGG-16)#67Mean IoU: 64.1FB-IoU: 76.6