1 citations · 1 across the 3 of their papers we have counts for
4 papers
Same Loss, Different Gradients
Ningkang Peng, Xiaoqian Peng, Yifan He +4
Differentiable learning typically assumes that the scalar objective evaluated in the forward pass and the gradient supplied to the optimizer in the backward pass describe the same…
Early High-Frequency Injection for Geometry-Sensitive OOD Detection
Chuanjie Cheng, Ningkang Peng, Chenxi Liu +3
Post-hoc OOD detectors score logits or features after training, so their success depends on the geometry already encoded in the representation. We revisit this assumption through a…
Selective Domain-Invariant Feature for Generalizable Deepfake Detection
Yingxin Lai, Guoqing Yang Yifan He, Zhiming Luo +1
With diverse presentation forgery methods emerging continually, detecting the authenticity of images has drawn growing attention. Although existing methods have achieved impressive…
A brief introduction to a framework named Multilevel Guidance-Exploration Network
Guoqing Yang, Zhiming Luo, Jianzhe Gao +4
Human behavior anomaly detection aims to identify unusual human actions, playing a crucial role in intelligent surveillance and other areas. The current mainstream methods still ad…