Work

Tiny-ImageNet-R

Year: 2022

Type: dataset

Abstract: Tiny-ImageNet-R, is a down-sampled subset of ImageNet-R(enditions) imagenet-r. It contains roughly 12,000 samples categorized in 64 classes (a subset of Tiny-ImageNet classes), spread across multiple visual domains such as art, cartoons, sculptures, origami, graffiti, and embroidery.

Source: PolyPublie (École Polytechnique de Montréal)

DOI: 10.5281/zenodo.6653674

Authors: Weiss, Martin, Rahaman, Nasim

Institutions: Mila - Quebec Artificial Intelligence Institute, Polytechnique Montréal, Max Planck Society

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4393540329

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