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Few Shot Semantic Segmentation On Fss 1000 5

Metrics

Mean IoU

Results

Performance results of various models on this benchmark

Paper TitleRepository
DACM (ResNet-101)91.7Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation
DACM (ResNet-50)91.6Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation
VAT (ResNet-101)90.8Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
VAT (ResNet-50)90.7Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
VAT90.6Cost Aggregation Is All You Need for Few-Shot Segmentation
VAT (HM, ResNet-101)90.5HM: Hybrid Masking for Few-Shot Segmentation
DCAMA (Swin-B)90.4Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
VAT (HM, ResNet-50)89.9HM: Hybrid Masking for Few-Shot Segmentation
SegGPT (ViT)89.3SegGPT: Segmenting Everything In Context
DCAMA (ResNet-101)89.1Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
GF-SAM88.9Bridge the Points: Graph-based Few-shot Segment Anything Semantically
DCAMA (ResNet-50)88.8Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
SSP88.6Self-Support Few-Shot Semantic Segmentation
HSNet (HM, ResNet-101)88.5HM: Hybrid Masking for Few-Shot Segmentation
HSNet (ResNet-101)88.5Hypercorrelation Squeeze for Few-Shot Segmentation
HSNet (HM, ResNet-50)88HM: Hybrid Masking for Few-Shot Segmentation
Annotation-free FSS (With Annotation,ResNet-50)87.9Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach
HSNet (ResNet-50)87.8Hypercorrelation Squeeze for Few-Shot Segmentation
Annotation-free FSS (Without Annotation,ResNet-50)86.8Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach
HSNet (VGG-16)85.8Hypercorrelation Squeeze for Few-Shot Segmentation
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