7 datasets found

Fine-grained visual recognition with salient feature detection

Food-101: mining discriminative components with random forests.

Automated flower classification over a large number of classes.

3D object representations for fine-grained categorization.

Fine-grained recognition is challenging due to its subtle local inter-class differences versus large intra-class variations such as poses. A key to address this problem is to...

Birdsnap is a dataset for fine-grained bird species classification.

We develop techniques for refining representations for fine-grained classification and segmentation tasks in a self-supervised manner.