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SOTA
ファーソットセマンティックセグメンテーション
Few Shot Semantic Segmentation On Coco 20I 5
Few Shot Semantic Segmentation On Coco 20I 5
評価指標
FB-IoU
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
Columns
モデル名
FB-IoU
Mean IoU
Paper Title
SegGPT (ViT)
-
67.9
SegGPT: Segmenting Everything In Context
GF-SAM
-
66.8
Bridge the Points: Graph-based Few-shot Segment Anything Semantically
PGMA-Net (ResNet-101)
79.4
61.8
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond
DiffewS(SD2.1)
-
60.7
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
Matcher(DINOv2)
-
60.7
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
FPTrans (DeiT-B/16)
-
58.9
Feature-Proxy Transformer for Few-Shot Segmentation
HMNet (ResNet-50)
77.6
58.9
Hybrid Mamba for Few-Shot Segmentation
DCAMA (Swin-B)
76.9
58.3
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
DGPNet (ResNet-101)
-
57.9
Dense Gaussian Processes for Few-Shot Segmentation
AENet (ResNet-50)
78.5
57.1
Eliminating Feature Ambiguity for Few-Shot Segmentation
PGMA-Net (ResNet-50)
76.7
57.1
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond
SCCAN (ResNet-101)
74.8
57
Self-Calibrated Cross Attention Network for Few-Shot Segmentation
MSANet (ResNet-101)
56.8
56.3
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation
DGPNet (ResNet-50)
-
56.2
Dense Gaussian Processes for Few-Shot Segmentation
HDMNet (ResNet-50)
77.7
56
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
MSDNet (ResNet-101)
75.1
55.3
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
ProtoFormer (ResNet-101)
74.6
54.7
Prototype as Query for Few Shot Semantic Segmentation
MSDNet (ResNet-50)
74.5
54.5
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
HMNet (VGG-16)
75.5
54.5
Hybrid Mamba for Few-Shot Segmentation
PFENet (SVF, ResNet-50)
-
54.38
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
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Few Shot Semantic Segmentation On Coco 20I 5 | SOTA | HyperAI超神経