Few Shot Semantic Segmentation On Fss 1000 1

評価指標

Mean IoU

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名	Mean IoU	Paper Title	Repository
SSP	87.3	Self-Support Few-Shot Semantic Segmentation
HSNet (VGG-16)	82.3	Hypercorrelation Squeeze for Few-Shot Segmentation
GF-SAM	88	Bridge the Points: Graph-based Few-shot Segment Anything Semantically
DCAMA (ResNet-101)	88.3	Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
VAT + MSI (ResNet-101)	90.6	MSI: Maximize Support-Set Information for Few-Shot Segmentation
DCAMA (Swin-B)	90.1	Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
HSNet (ResNet-101)	86.5	Hypercorrelation Squeeze for Few-Shot Segmentation
DACM (ResNet-101)	90.8	Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation
HSNet (HM, ResNet-50)	87.1	HM: Hybrid Masking for Few-Shot Segmentation	-
DCAMA (ResNet-50)	88.2	Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
HSNet (DifFSS, ResNet-50)	86.2	DifFSS: Diffusion Model for Few-Shot Semantic Segmentation
HSNet (ResNet-50)	85.5	Hypercorrelation Squeeze for Few-Shot Segmentation
DCAMA (DifFSS, ResNet-50)	88.4	DifFSS: Diffusion Model for Few-Shot Semantic Segmentation
VAT (HM, ResNet-50)	89.4	HM: Hybrid Masking for Few-Shot Segmentation	-
Annotation-free FSS (Without Annotation,ResNet-50)	85	Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach
SegGPT (ViT)	85.6	SegGPT: Segmenting Everything In Context
VAT (ResNet-50)	90.1	Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
VAT (ResNet-101)	90.3	Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
DACM (ResNet-50)	90.7	Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation
Annotation-free FSS (With Annotation,ResNet-50)	85.7	Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach

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