cats and dogs

By 颜玉秀. 2003

1,123 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Evaluation & Benchmarks

Citations in the corpus

• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (2020, neutral): “We transfer the models trained on these dataset to several benchmark tasks: ImageNet on the original validation labels and the cleaned-up ReaL labels (Beyer et al., 2020), CIFAR-10/100 (Krizhevsky, 2009), Oxford-IIIT Pets (Parkhi et al., 2012), and Oxford Flowers-102 (Nilsback & Zisserman, 2008).”
• Visual-RFT: Visual Reinforcement Fine-Tuning (2025, neutral): “We selected four datasets: Flower102 [24], Pets37 [29], FGVC-Aircraft [23], and Car196 [12], which contain dozens to hundreds of similar categories, adding significant difficulty to the classification task.”