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Few Shot Semantic Segmentation On Coco 20I 2

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Mean IoU

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

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

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