Row precision vs. Aggregation errors: MAP is the best way to use "greedy" functions like AND or OR in a single, dynamic ...
Abstract: Data augmentation is vital in deep learning for enhancing model robustness by artificially expanding training datasets. However, advanced methods like CutMix blend images and assign labels ...