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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... -
Learning to Compose Hypercolumns for Visual Correspondence
Feature representation plays a crucial role in visual correspondence, and recent methods for image matching resort to deeply stacked convolutional layers. -
Eye-for-an-Eye: Appearance Transfer with Semantic Correspondence in Diffusion...
The dataset used in the paper for appearance transfer with semantic correspondence in diffusion models.