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05/28/2023
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study
Large amounts of incremental learning algorithms have been proposed to a...
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04/06/2023
Super-Resolving Face Image by Facial Parsing Information
Face super-resolution is a technology that transforms a low-resolution f...
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06/23/2022
Prototype-Anchored Learning for Learning with Imperfect Annotations
The success of deep neural networks greatly relies on the availability o...
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06/23/2022
Learning Towards the Largest Margins
One of the main challenges for feature representation in deep learning-b...
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03/08/2022
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon
Estimating the risk level of adversarial examples is essential for safel...
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07/31/2021
Learning with Noisy Labels via Sparse Regularization
Learning with noisy labels is an important and challenging task for trai...
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10/15/2020
Unsupervised Constrative Person Re-identification
Person re-identification (ReID) aims at searching the same identity pers...
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06/09/2020
Single Image Deraining via Scale-space Invariant Attention Neural Network
Image enhancement from degradation of rainy artifacts plays a critical r...
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03/17/2020
Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis
Plant diseases serve as one of main threats to food security and crop pr...
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03/04/2020