no code implementations • 8 Apr 2021 • Elliott Skomski, Aaron Tuor, Andrew Avila, Lauren Phillips, Zachary New, Henry Kvinge, Courtney D. Corley, Nathan Hodas
Recently proposed few-shot image classification methods have generally focused on use cases where the objects to be classified are the central subject of images.
no code implementations • 23 Sep 2020 • Henry Kvinge, Zachary New, Nico Courts, Jung H. Lee, Lauren A. Phillips, Courtney D. Corley, Aaron Tuor, Andrew Avila, Nathan O. Hodas
Few-shot learning algorithms, which seek to address this limitation, are designed to generalize well to new tasks with limited data.