Fine-Grained Species Recognition With Privileged Pooling: Better Sample Efficiency Through Supervised Attention

We propose a scheme that uses privileged information, in the form of keypoint annotations for the training data, to learn strong models from small and/or biased training sets.

Recognition of Unseen Bird Species by Learning from Field Guides

We exploit existing field guides to learn bird species recognition in large scale datasets for zero-shot recognition of unseen species