Few Shot Semantic Segmentation On Fss 1000 5

评估指标

Mean IoU

评测结果

各个模型在此基准测试上的表现结果

		Paper Title
DACM (ResNet-101)	91.7	Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation
DACM (ResNet-50)	91.6	Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation
VAT (ResNet-101)	90.8	Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
VAT (ResNet-50)	90.7	Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
VAT	90.6	Cost Aggregation Is All You Need for Few-Shot Segmentation
VAT (HM, ResNet-101)	90.5	HM: Hybrid Masking for Few-Shot Segmentation
DCAMA (Swin-B)	90.4	Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
VAT (HM, ResNet-50)	89.9	HM: Hybrid Masking for Few-Shot Segmentation
SegGPT (ViT)	89.3	SegGPT: Segmenting Everything In Context
DCAMA (ResNet-101)	89.1	Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
GF-SAM	88.9	Bridge the Points: Graph-based Few-shot Segment Anything Semantically
DCAMA (ResNet-50)	88.8	Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
SSP	88.6	Self-Support Few-Shot Semantic Segmentation
HSNet (HM, ResNet-101)	88.5	HM: Hybrid Masking for Few-Shot Segmentation
HSNet (ResNet-101)	88.5	Hypercorrelation Squeeze for Few-Shot Segmentation
HSNet (HM, ResNet-50)	88	HM: Hybrid Masking for Few-Shot Segmentation
Annotation-free FSS (With Annotation,ResNet-50)	87.9	Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach
HSNet (ResNet-50)	87.8	Hypercorrelation Squeeze for Few-Shot Segmentation
Annotation-free FSS (Without Annotation,ResNet-50)	86.8	Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach
HSNet (VGG-16)	85.8	Hypercorrelation Squeeze for Few-Shot Segmentation

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