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cs.CV2023★ 1 cited
ADFA: Attention-augmented Differentiable top-k Feature Adaptation for Unsupervised Medical Anomaly Detection
Yiming Huang, Guole Liu, Yaoru Luo +1
The scarcity of annotated data, particularly for rare diseases, limits the variability of training data and the range of detectable lesions, presenting a significant challenge for…
cs.CV2022★ 1 cited
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks
Yaoru Luo, Guole Liu, Yuanhao Guo +1
Supervised training of deep neural networks (DNNs) by noisy labels has been studied extensively in image classification but much less in image segmentation. Our understanding of th…
cs.CV2021
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation
Yaoru Luo, Guole Liu, Yuanhao Guo +1
How deep neural networks (DNNs) learn from noisy labels has been studied extensively in image classification but much less in image segmentation. So far, our understanding of the l…