3 citations · 5 across the 4 of their papers we have counts for
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cs.CV2023★ 3 cited
Towards Total Online Unsupervised Anomaly Detection and Localization in Industrial Vision
Han Gao, Huiyuan Luo, Fei Shen +1
Although existing image anomaly detection methods yield impressive results, they are mostly an offline learning paradigm that requires excessive data pre-collection, limiting their…
cs.CV2022★ 2 cited
Depth-Assisted ResiDualGAN for Cross-Domain Aerial Images Semantic Segmentation
Yang Zhao, Peng Guo, Han Gao +1
Unsupervised domain adaptation (UDA) is an approach to minimizing domain gap. Generative methods are common approaches to minimizing the domain gap of aerial images which improves…