Semantic Correspondence On Pf Willow

PCK

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	PCK	Paper Title	Repository
SCOT	78.1	Semantic Correspondence as an Optimal Transport Problem	-
DHPF	77.6	Learning to Compose Hypercolumns for Visual Correspondence
CHM	79.4	Convolutional Hough Matching Networks
HPF	76.3	Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
VAT	81.0	Cost Aggregation Is All You Need for Few-Shot Segmentation
LDMCorrespondences	84.3	Unsupervised Semantic Correspondence Using Stable Diffusion
CATs	79.2	CATs: Cost Aggregation Transformers for Visual Correspondence
VAT (ECCV)	81.6	Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation

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