Baoquan Zhang | DeepAI

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Featured Co-authors

Hao Jiang
65 publications
Shanshan Feng
18 publications
Yunming Ye
17 publications
Xutao Li
14 publications
Lisai Zhang
7 publications
Rui Ye
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Zhichao Huang
5 publications
Demin Yu
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Huiwei Lin
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Ka-Cheong Leung
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Hongliang Qiao
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∙ 09/08/2023

UER: A Heuristic Bias Addressing Approach for Online Continual Learning

Online continual learning aims to continuously train neural networks fro...

0 Huiwei Lin, et al. ∙

∙ 07/31/2023

MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning

Equipping a deep model the abaility of few-shot learning, i.e., learning...

0 Baoquan Zhang, et al. ∙

∙ 04/10/2023

PCR: Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning

Online class-incremental continual learning is a specific task of contin...

0 Huiwei Lin, et al. ∙

∙ 03/03/2022

MetaDT: Meta Decision Tree for Interpretable Few-Shot Learning

Few-Shot Learning (FSL) is a challenging task, which aims to recognize n...

0 Baoquan Zhang, et al. ∙

∙ 10/09/2021

SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification

Few-Shot Remote Sensing Scene Classification (FSRSSC) is an important ta...

0 Baoquan Zhang, et al. ∙

∙ 08/11/2021

Prototype Completion for Few-Shot Learning

Few-shot learning aims to recognize novel classes with few examples. Pre...

9 Baoquan Zhang, et al. ∙

∙ 03/26/2021

MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning

Few-Shot Learning (FSL) is a challenging task, i.e., how to recognize no...

13 Baoquan Zhang, et al. ∙

∙ 09/10/2020

Prototype Completion with Primitive Knowledge for Few-Shot Learning

Few-shot learning is a challenging task, which aims to learn a classifie...

4 Baoquan Zhang, et al. ∙

∙ 07/05/2020

MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning

Meta-learning has been proved to be an effective framework to address fe...

0 Baoquan Zhang, et al. ∙

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