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Few Shot Semantic Segmentation On Coco 20I 2

Metrics

Mean IoU

Results

Performance results of various models on this benchmark

		Paper Title	Repository
FPTrans (DeiT-B/16)	79.3	Feature-Proxy Transformer for Few-Shot Segmentation
DGPNet (ResNet-101)	78.5	Dense Gaussian Processes for Few-Shot Segmentation
DGPNet (ResNet-50)	77.5	Dense Gaussian Processes for Few-Shot Segmentation
FPTrans (ViT-B/16)	76.9	Feature-Proxy Transformer for Few-Shot Segmentation
MSDNet (ResNet-101)	76.4	MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
MSDNet (ResNet-50)	74.2	MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
HSNet (HM, ResNet-101)	70.9	HM: Hybrid Masking for Few-Shot Segmentation
HSNet (HM, ResNet-50)	69.7	HM: Hybrid Masking for Few-Shot Segmentation
VAT (HM, ResNet-50)	69.7	HM: Hybrid Masking for Few-Shot Segmentation
RePRI (ResNet-50)	67.7	Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
CWT (ResNet-50)	66.5	Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer
RPMM	53.8	Prototype Mixture Models for Few-shot Semantic Segmentation

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