1 code implementation • ICCV 2023 • Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia, Deyu Meng
Online continual learning (CL) aims to learn new knowledge and consolidate previously learned knowledge from non-stationary data streams.
1 code implementation • 28 Jul 2022 • Renzhen Wang, Xixi Jia, Quanziang Wang, Yichen Wu, Deyu Meng
The core idea is to automatically assimilate the training bias caused by class imbalance via the bias adaptive classifier, which is composed of a novel bias attractor and the original linear classifier.
no code implementations • 16 Feb 2022 • Minghao Zhou, Quanziang Wang, Jun Shu, Qian Zhao, Deyu Meng
Extensive researches have applied deep neural networks (DNNs) in class incremental learning (Class-IL).
no code implementations • 31 Dec 2021 • Quanziang Wang, Renzhen Wang, Yuexiang Li, Dong Wei, Kai Ma, Yefeng Zheng, Deyu Meng
Continual learning is a promising machine learning paradigm to learn new tasks while retaining previously learned knowledge over streaming training data.
no code implementations • 27 Jun 2021 • Quanziang Wang, Renzhen Wang, Yuexiang Li, Kai Ma, Yefeng Zheng, Deyu Meng
Location information is proven to benefit the deep learning models on capturing the manifold structure of target objects, and accordingly boosts the accuracy of medical image segmentation.