Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Nara, Ryoya"'
Autor:
Nara, Ryoya, Lin, Yu-Chieh, Nozawa, Yuji, Ng, Youyang, Itoh, Goh, Torii, Osamu, Matsui, Yusuke
Many image retrieval studies use metric learning to train an image encoder. However, metric learning cannot handle differences in users' preferences, and requires data to train an image encoder. To overcome these limitations, we revisit relevance fee
Externí odkaz:
http://arxiv.org/abs/2404.16398
Autor:
Nara, Ryoya, Matsui, Yusuke
DNN-based image classifiers are susceptible to adversarial attacks. Most previous adversarial attacks do not have clear patterns, making it difficult to interpret attacks' results and gain insights into classifiers' mechanisms. Therefore, we propose
Externí odkaz:
http://arxiv.org/abs/2311.15994