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الرئيسية
SOTA
Semantic Correspondence
Semantic Correspondence On Spair 71K
Semantic Correspondence On Spair 71K
المقاييس
PCK
النتائج
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Columns
اسم النموذج
PCK
Paper Title
Repository
HPF
28.2
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
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GeoAware-SC (Zero-Shot)
68.5
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
GeoAware-SC (Supervised, AP-10K P.T.)
85.6
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
CATs++
59.8
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
GeoAware-SC (Supervised)
82.9
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
SCOT
35.6
Semantic Correspondence as an Optimal Transport Problem
GeoAware-SC + CleanDIFT (Zero-Shot)
70.0
CleanDIFT: Diffusion Features without Noise
-
VAT
54.2
Cost Aggregation Is All You Need for Few-Shot Segmentation
SD+DINO (Supervised)
74.6
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
VAT (ECCV)
55.5
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
SD+DINO (Zero-shot)
64.0
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
MMNet
50.4
Multi-scale Matching Networks for Semantic Correspondence
IFCAT
64.4
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence
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DHPF
37.3
Learning to Compose Hypercolumns for Visual Correspondence
ANCNet
30.1
Correspondence Networks with Adaptive Neighbourhood Consensus
LDMCorrespondences
45.4
Unsupervised Semantic Correspondence Using Stable Diffusion
SD+DINO + CleanDIFT (Zero-Shot)
64.8
CleanDIFT: Diffusion Features without Noise
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CATs
49.9
CATs: Cost Aggregation Transformers for Visual Correspondence
DIFT + CleanDIFT (Zero-Shot)
61.4
CleanDIFT: Diffusion Features without Noise
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CHM
46.3
Convolutional Hough Matching Networks
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