Spectral learning priority is a useful tool in analyzing a model’s focus during training, it describes how a model may understand a given image from the spectrum perspective. For example, to distinguish cats and tortoises, learning to recognize their shapes would be enough, such embedding will result in higher learning priority at low frequencies representing shapes; while learning to …
Supervisors: Yucheng Lu, Veronika Cheplygina
Semester: Fall 2024
Tags: Spectral analysis, Image classification, Medical imaging