HyperAI超神经

Semantic Correspondence On Pf Pascal

评估指标

PCK

评测结果

各个模型在此基准测试上的表现结果

		Paper Title
GeoAware-SC (Supervised, AP-10K P.T.)	95.7	Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
GeoAware-SC (Supervised)	95.1	Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
CATs++	93.8	CATs++: Boosting Cost Aggregation with Convolutions and Transformers
SD+DINO (Supervised)	93.6	A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
CATs	92.6	CATs: Cost Aggregation Transformers for Visual Correspondence
VAT	92.3	Cost Aggregation Is All You Need for Few-Shot Segmentation
VAT (ECCV)	92.3	Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
CHM	91.6	Convolutional Hough Matching Networks
DHPF	90.7	Learning to Compose Hypercolumns for Visual Correspondence
SCOT	88.8	Semantic Correspondence as an Optimal Transport Problem
ANCNet	88.7	Correspondence Networks with Adaptive Neighbourhood Consensus
HPF	88.3	Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
GeoAware-SC (Zero-Shot)	82.6	Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
NC-Net	-	Neighbourhood Consensus Networks

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HyperAI超神经

Semantic Correspondence On Pf Pascal

评估指标

PCK

评测结果

各个模型在此基准测试上的表现结果

		Paper Title
GeoAware-SC (Supervised, AP-10K P.T.)	95.7	Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
GeoAware-SC (Supervised)	95.1	Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
CATs++	93.8	CATs++: Boosting Cost Aggregation with Convolutions and Transformers
SD+DINO (Supervised)	93.6	A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
CATs	92.6	CATs: Cost Aggregation Transformers for Visual Correspondence
VAT	92.3	Cost Aggregation Is All You Need for Few-Shot Segmentation
VAT (ECCV)	92.3	Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
CHM	91.6	Convolutional Hough Matching Networks
DHPF	90.7	Learning to Compose Hypercolumns for Visual Correspondence
SCOT	88.8	Semantic Correspondence as an Optimal Transport Problem
ANCNet	88.7	Correspondence Networks with Adaptive Neighbourhood Consensus
HPF	88.3	Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
GeoAware-SC (Zero-Shot)	82.6	Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
NC-Net	-	Neighbourhood Consensus Networks

0 of 14 row(s) selected.

Semantic Correspondence On Pf Pascal | SOTA | HyperAI超神经