Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation

Benchmark Model Rank Results
semantic-correspondence-on-pf-willowVAT (ECCV)#2PCK: 81.6
few-shot-semantic-segmentation-on-fss-1000-5-shotVAT (ResNet-101)#4Mean IoU: 90.8FB-IoU: 94.4
few-shot-semantic-segmentation-on-fss-1000-5-shotVAT (ResNet-50)#5Mean IoU: 90.7FB-IoU: 94.2
few-shot-semantic-segmentation-on-fss-1000-1-shotVAT (ResNet-101)#5Mean IoU: 90.3FB-IoU: 94
few-shot-semantic-segmentation-on-fss-1000-1-shotVAT (ResNet-50)#8Mean IoU: 90.1FB-IoU: 93.8
semantic-correspondence-on-pf-pascalVAT (ECCV)#8PCK: 92.3
semantic-correspondence-on-spair-71kVAT (ECCV)#11PCK: 55.5
few-shot-semantic-segmentation-on-pascal-5i-5-shotVAT (ResNet-101)#23Mean IoU: 72FB-IoU: 83.2
few-shot-semantic-segmentation-on-pascal-5i-5-shotVAT (ResNet-50)#43Mean IoU: 70.1FB-IoU: 80.9
few-shot-semantic-segmentation-on-pascal-5i-1-shotVAT (ResNet-101)#26Mean IoU: 67.9FB-IoU: 79.6
few-shot-semantic-segmentation-on-pascal-5i-1-shotVAT (ResNet-50)#48Mean IoU: 65.5FB-IoU: 77.8
few-shot-semantic-segmentation-on-coco-20i-5-shotVAT (ResNet-101)#46Mean IoU: 47.9FB-IoU: 72.4
few-shot-semantic-segmentation-on-coco-20i-1-shotVAT (ResNet-101)#52Mean IoU: 41.3FB-IoU: 68.8