Toward Learning Robust Detectors from Imbalanced Datasets Leveraging Weighted Adversarial Training

Kento Hasegawa*, Seira Hidano, Shinsaku Kiyomoto, Nozomu Togawa

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fingerprint

Dive into the research topics of 'Toward Learning Robust Detectors from Imbalanced Datasets Leveraging Weighted Adversarial Training'. Together they form a unique fingerprint.

Mathematics

Engineering & Materials Science