5 citations · 7 across the 11 of their papers we have counts for
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cs.CV2022★ 5 cited
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input
Junyoung Byun, Seungju Cho, Myung-Joon Kwon +2
The transferability of adversarial examples allows the deception on black-box models, and transfer-based targeted attacks have attracted a lot of interest due to their practical ap…
cs.CV2022★ 1 cited
Balancing Domain Experts for Long-Tailed Camera-Trap Recognition
Byeongjun Park, Jeongsoo Kim, Seungju Cho +2
Label distributions in camera-trap images are highly imbalanced and long-tailed, resulting in neural networks tending to be biased towards head-classes that appear frequently. Alth…