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08/02/2023
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening
Breast cancer is a major cause of cancer death among women, emphasising ...
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05/29/2023
Continual Task Allocation in Meta-Policy Network via Sparse Prompting
How to train a generalizable meta-policy by continually learning a seque...
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03/19/2023
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
Diffusion Probabilistic Models have recently shown remarkable performanc...
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12/12/2022
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
In this paper, we present a pure-Python open-source library, called PyPo...
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08/31/2022
Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning
Deep Neural Networks (DNNs) have achieved excellent performance in vario...
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07/31/2022
Out-of-Distribution Detection with Semantic Mismatch under Masking
This paper proposes a novel out-of-distribution (OOD) detection framewor...
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01/24/2022
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction
Adversarial examples (AEs) pose severe threats to the applications of de...
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09/13/2021
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation
Modern deep neural networks struggle to transfer knowledge and generaliz...
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01/31/2021
The distance between the weights of the neural network is meaningful
In the application of neural networks, we need to select a suitable mode...
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12/04/2018
