Home Console Docs News Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Few Shot Semantic Segmentation On Coco 20I

Metrics

Mean IoU

Results

Performance results of various models on this benchmark

		Paper Title	Repository
MSDNet (ResNet-101)	73.9	MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
MSDNet (ResNet-50)	72.1	MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
DGPNet (ResNet-101)	70.1	Dense Gaussian Processes for Few-Shot Segmentation
FPTrans (DeiT-B/16)	69.7	Feature-Proxy Transformer for Few-Shot Segmentation
VAT + MSI (ResNet101)	69.2	MSI: Maximize Support-Set Information for Few-Shot Segmentation
DGPNet (ResNet-50)	68.9	Dense Gaussian Processes for Few-Shot Segmentation
FPTrans (ViT-B/16)	67.6	Feature-Proxy Transformer for Few-Shot Segmentation
HSNet (HM, ResNet-101)	66.5	HM: Hybrid Masking for Few-Shot Segmentation
HSNet (HM, ResNet-50)	65.2	HM: Hybrid Masking for Few-Shot Segmentation
VAT (HM, ResNet-50)	65.1	HM: Hybrid Masking for Few-Shot Segmentation
RePRI (ResNet-50)	63.1	Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
CWT (ResNet-50)	59.5	Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer
RPMM	49.6	Prototype Mixture Models for Few-shot Semantic Segmentation

0 of 13 row(s) selected.