SOTAVerified

Few-Shot Semantic Segmentation

Few-shot semantic segmentation (FSS) learns to segment target objects in query image given few pixel-wise annotated support image.

Papers

Showing 110 of 168 papers

TitleStatusHype
Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation0
DINOv2-powered Few-Shot Semantic Segmentation: A Unified Framework via Cross-Model Distillation and 4D Correlation Mining0
FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater ImagesCode0
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation ModelsCode0
AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies0
Overcoming Support Dilution for Robust Few-shot Semantic Segmentation0
Few-shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural NetworksCode1
DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation0
AFANet: Adaptive Frequency-Aware Network for Weakly-Supervised Few-Shot Semantic SegmentationCode1
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge TransferCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Label Anything (Vit-B/16-SAM)mIoU34.6Unverified
2Label Anything (ViT-B/16-MAE)mIoU31.9Unverified
3DCAMA (Swin-B)mIoU31.7Unverified
4MFNet (ResNet-50)mIoU24.1Unverified
5PPNet (ResNet-50)mIoU20.4Unverified
6PANet (ResNet-50)mIoU18Unverified