MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation

Open paper
Benchmark Model Rank Results
few-shot-semantic-segmentation-on-coco-20i-1MIANet (ResNet-50)#16Mean IoU: 47.66FB-IoU: 71.51
few-shot-semantic-segmentation-on-coco-20i-1MIANet (VGG-16)#30Mean IoU: 45.69FB-IoU: 71.01
few-shot-semantic-segmentation-on-coco-20i-5MIANet (ResNet-50)#27Mean IoU: 51.65FB-IoU: 73.13
few-shot-semantic-segmentation-on-coco-20i-5MIANet (VGG-16)#29Mean IoU: 51.03FB-IoU: 73.81
few-shot-semantic-segmentation-on-pascal-5i-1MIANet (ResNet-50)#14Mean IoU: 68.72FB-IoU: 79.54
few-shot-semantic-segmentation-on-pascal-5i-1MIANet (ResNet-101)#21Mean IoU: 67.63
few-shot-semantic-segmentation-on-pascal-5i-1MIANet (VGG-16)#26Mean IoU: 67.10FB-IoU: 79.22
few-shot-semantic-segmentation-on-pascal-5i-5MIANet (VGG-16)#17Mean IoU: 71.99FB-IoU: 82.69
few-shot-semantic-segmentation-on-pascal-5i-5MIANet (ResNet-50)#22Mean IoU: 71.59FB-IoU: 82.2

Rank counts only results with a code link.