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الرئيسية
SOTA
المراسلة الدلالية
Semantic Correspondence On Spair 71K
Semantic Correspondence On Spair 71K
المقاييس
PCK
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
PCK
Paper Title
Repository
HPF
28.2
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
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
CATs
49.9
CATs: Cost Aggregation Transformers for Visual Correspondence
DIFT + CleanDIFT (Zero-Shot)
61.4
CleanDIFT: Diffusion Features without Noise
CHM
46.3
Convolutional Hough Matching Networks
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