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少样本语义分割
Few Shot Semantic Segmentation On Pascal 5I 1
Few Shot Semantic Segmentation On Pascal 5I 1
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
Columns
模型名称
Mean IoU
Paper Title
Repository
SegGPT (ViT)
83.2
SegGPT: Segmenting Everything In Context
PGMA-Net (ResNet-101)
77.6
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond
-
PGMA-Net (ResNet-50)
74.1
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond
-
PGMA-Net (ViT-B/16)
74.1
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond
-
GF-SAM
72.1
Bridge the Points: Graph-based Few-shot Segment Anything Semantically
HMNet (ResNet-50)
70.4
Hybrid Mamba for Few-Shot Segmentation
AENet (ResNet-50)
70.3
Eliminating Feature Ambiguity for Few-Shot Segmentation
HDMNet (DifFSS, ResNet-50)
70.2
DifFSS: Diffusion Model for Few-Shot Semantic Segmentation
VAT + MSI (ResNet-101)
70.1
MSI: Maximize Support-Set Information for Few-Shot Segmentation
HDMNet (ResNet-50)
69.4
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
DCAMA (Swin-B)
69.3
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
BAM (DifFSS, ResNet-50)
69.3
DifFSS: Diffusion Model for Few-Shot Semantic Segmentation
MSANet (ResNet-101)
69.13
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation
DACM (VAT, ResNet-101)
69.1
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation
BAM (SVF, ResNet-50)
68.95
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
FPTrans (DeiT-B/16)
68.8
Feature-Proxy Transformer for Few-Shot Segmentation
MIANet (ResNet-50)
68.72
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation
MSANet (ResNet-50)
68.52
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation
SCCAN (ResNet-101)
68.3
Self-Calibrated Cross Attention Network for Few-Shot Segmentation
PFENet (SVF, ResNet-50)
68.15
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
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