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Found 6 papers, 0 papers with code
End-to-End Illuminant Estimation Based on Deep Metric Learning
Previous deep learning approaches to color constancy usually directly estimate illuminant value from input image.
Class-Aware Domain Adaptation for Improving Adversarial Robustness
To improve the adversarial robustness of neural networks, adversarial training has been proposed to train networks by injecting adversarial examples into the training data.
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation
The extensive experiments and ablation study demonstrate the effectiveness of our approach on the domain adaptive segmentation task.
Learning Deep Image Priors for Blind Image Denoising
In this paper, we propose an effective image denoising method by learning two image priors from the perspective of domain alignment.
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification
In this paper, we present a novel deep hybrid attention approach to breast cancer classification.
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray
To the best of our knowledge, this is the first end-to-end system that takes a TMA image as input and directly outputs a clinical score.
