SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization

2 code implementations • ICLR 2021 • A. F. M. Shahab Uddin, Mst. Sirazam Monira, Wheemyung Shin, TaeChoong Chung, Sung-Ho Bae

We argue that such random selection strategies of the patches may not necessarily represent sufficient information about the corresponding object and thereby mixing the labels according to that uninformative patch enables the model to learn unexpected feature representation.

Data Augmentation object-detection +1