Semantic Correspondence - Groups

SPair-71k: A large-scale benchmark for semantic correspondence

The proposed method, dubbed Dynamic Hyperpixel Flow, learns to compose hypercolumn features on the fly by selecting a small number of relevant layers from a deep convolutional...

Dataset
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PF-WILLOW

The proposed method, dubbed Dynamic Hyperpixel Flow, learns to compose hypercolumn features on the fly by selecting a small number of relevant layers from a deep convolutional...

Dataset
JSON

PF-PASCAL

The proposed method, dubbed Dynamic Hyperpixel Flow, learns to compose hypercolumn features on the fly by selecting a small number of relevant layers from a deep convolutional...

Dataset
JSON

SPair-71k

The proposed method, dubbed Dynamic Hyperpixel Flow, learns to compose hypercolumn features on the fly by selecting a small number of relevant layers from a deep convolutional...

Dataset
JSON

Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Corres...

Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence

Dataset
JSON

5 datasets found

SPair-71k: A large-scale benchmark for semantic correspondence

PF-WILLOW

PF-PASCAL

SPair-71k

Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Corres...