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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.CV2023
CoC-GAN: Employing Context Cluster for Unveiling a New Pathway in Image Generation
Zihao Wang, Yiming Huang, Ziyu Zhou
Image generation tasks are traditionally undertaken using Convolutional Neural Networks (CNN) or Transformer architectures for feature aggregating and dispatching. Despite the freq…