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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.
Shape-Margin Knowledge Augmented Network for Thyroid Nodule Segmentation and Diagnosis
It embeds shape and margin characteristics through numerical computation and models the relationship between the thyroid nodule diagnosis results and segmentation masks.
Enhancing Mobile Face Anti-Spoofing: A Robust Framework for Diverse Attack Types under Screen Flash
In this paper, we propose an attack type robust face anti-spoofing framework under light flash, called ATR-FAS.
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.
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