Gabriel Brostow

Becoming the expert - interactive multi-class machine teaching

2015

Compared to machines, humans are extremely good at classifying images into categories, especially when they possess prior knowledge of the categories at hand. If this prior information is not available, supervision in the form of …

Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring

2021 · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

We address the problem of learning self-supervised representations from unlabeled image collections. Unlike existing approaches that attempt to learn useful features by maximizing similarity between augmented versions of each input image or by speculatively picking …