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Found 5 papers, 1 papers with code
Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery Detection
In addition, to further heighten the amplification of forged clues, BENet incorporates a Latent-Space Attention (LSA) module.
Dynamic Multi-Domain Knowledge Networks for Chest X-ray Report Generation
We then fuse the dynamic disease topic labels with the original visual features of the images to highlight the abnormal regions in the original visual features to alleviate the visual data bias problem.
Occlusion-Aware Deep Convolutional Neural Network via Homogeneous Tanh-transforms for Face Parsing
Based on homogeneous tanh-transforms, we propose an occlusion-aware convolutional neural network for occluded face parsing.
A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms
Finally, a back-propagation neural network (BPN) is employed for classification, and its accuracy is used as the fitness in GA. A set of 500 mammogram images from the digital database of screening mammography (DDSM) is used for evaluation.
A New Three-stage Curriculum Learning Approach to Deep Network Based Liver Tumor Segmentation
The learning in the first stage is performed on the whole input to obtain an initial deep network for tumor segmenta-tion.
