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Few Shot Semantic Segmentation On Coco 20I 2

評価指標

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

モデル名
Mean IoU
Paper TitleRepository
MSDNet (ResNet-101)76.4MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping-
RePRI (ResNet-50)67.7Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?-
MSDNet (ResNet-50)74.2MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping-
FPTrans (DeiT-B/16)79.3Feature-Proxy Transformer for Few-Shot Segmentation-
HSNet (HM, ResNet-50)69.7HM: Hybrid Masking for Few-Shot Segmentation-
RPMM53.8Prototype Mixture Models for Few-shot Semantic Segmentation-
HSNet (HM, ResNet-101)70.9HM: Hybrid Masking for Few-Shot Segmentation-
FPTrans (ViT-B/16)76.9Feature-Proxy Transformer for Few-Shot Segmentation-
DGPNet (ResNet-50)77.5Dense Gaussian Processes for Few-Shot Segmentation-
VAT (HM, ResNet-50)69.7HM: Hybrid Masking for Few-Shot Segmentation-
DGPNet (ResNet-101)78.5Dense Gaussian Processes for Few-Shot Segmentation-
CWT (ResNet-50)66.5Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer-
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Few Shot Semantic Segmentation On Coco 20I 2 | SOTA | HyperAI超神経