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Found 3 papers, 1 papers with code
Deep ViT Features as Dense Visual Descriptors
To distill the power of ViT features from convoluted design choices, we restrict ourselves to lightweight zero-shot methodologies (e. g., binning and clustering) applied directly to the features.
Ranked #6 on
Feature Upsampling
on ImageNet
Deep Learning Models for Automated Classification of Dog Emotional States from Facial Expressions
Similarly to humans, facial expressions in animals are closely linked with emotional states.
Disentangling Structure and Appearance in ViT Feature Space
Specifically, our goal is to generate an image in which objects in a source structure image are "painted" with the visual appearance of their semantically related objects in a target appearance image.
