6 datasets found

The dataset used in the paper is not explicitly described, but it is mentioned that it is a visual recognition task.

The dataset used in the experiment consists of 50 images equally distributed between five classes: aircraft, bird, bicycle, boat, and dog. Each class has 5 true positive images...

The Deep High-Resolution Representation Learning for Visual Recognition dataset.

The iNaturalist2018 dataset is the largest dataset for long-tailed visual recognition.

The Microsoft COCO dataset was used for training and evaluating the CNNs because it has become a standard benchmark for testing algorithms aimed at scene understanding and...

A benchmark for low-shot recognition was proposed by Hariharan & Girshick (2017) and consists of a representation learning phase without access to the low-shot classes and a...