3 citations · 3 across the 4 of their papers we have counts for
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cs.CV2026
ForensicZoom: Adaptive Visual Inspection with Multimodal LLMs for Industrial-Grade Face Forgery Detection
Hang Zhou, Yiming Tang, Kun Yu +3
Reliable face forgery detection is critical to the security of online identity verification systems, where missed attacks compromise security and excessive false positives disrupt…
cs.CV2023
PIAT: Parameter Interpolation based Adversarial Training for Image Classification
Kun He, Xin Liu, Yichen Yang +4
Adversarial training has been demonstrated to be the most effective approach to defend against adversarial attacks. However, existing adversarial training methods show apparent osc…
cs.CV2022
Compare learning: bi-attention network for few-shot learning
Li Ke, Meng Pan, Weigao Wen +1
Learning with few labeled data is a key challenge for visual recognition, as deep neural networks tend to overfit using a few samples only. One of the Few-shot learning methods cal…