Fine-Grained Visual Classification with Efficient End-to-end Localization

Open paper

Benchmark	Model	Rank	Results
fine-grained-image-classification-on-fgvc-aircraft	AttNet & AffNet	–	Accuracy: 94.1%
fine-grained-image-classification-on-stanford-cars	AttNet & AffNet	–	Accuracy: 95.6%