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Automatically Discovering Novel Visual Categories With Adaptive Prototype Learning 期刊论文
https://ieeexplore.ieee.org/abstract/document/10328468, 2024, 卷号: 46, 期号: 4, 页码: 2533-2544
作者:  Lu Zhang;  Lu Qi;  Xu Yang;  Hong Qiao;  Ming-Hsuan Yang;  Zhiyong Liu
Adobe PDF(20312Kb)  |  收藏  |  浏览/下载：24/9  |  提交时间：2024/06/06
Image recognition  novel category discovery  transfer learning  
Incremental Few-Shot Object Detection with scale- and centerness-aware weight generation 期刊论文
COMPUTER VISION AND IMAGE UNDERSTANDING, 2023, 卷号: 235, 页码: 9
作者:  Zhang, Lu;  Yang, Xu;  Qi, Lu;  Zeng, Shaofeng;  Liu, Zhiyong
收藏  |  浏览/下载：113/0  |  提交时间：2023/11/17
Incremental learning  Few-shot learning  Object detection  
CANet: Co-attention network for RGB-D semantic segmentation 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 124, 页码: 11
作者:  Zhou, Hao;  Qi, Lu;  Huang, Hai;  Yang, Xu;  Wan, Zhaoliang;  Wen, Xianglong
收藏  |  浏览/下载：241/0  |  提交时间：2022/02/16
RGB-D  Multi -modal fusion  Co-attention  Semantic segmentation  
A Novel Biologically Inspired Visual Cognition Model: Automatic Extraction of Semantics, Formation of Integrated Concepts, and Reselection Features for Ambiguity 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2018, 卷号: 10, 期号: 2, 页码: 420-431
作者:  Yin, Peijie;  Qiao, Hong;  Wu, Wei;  Qi, Lu;  Li, Yinlin;  Zhong, Shanlin;  Zhang, Bo
浏览  |  Adobe PDF(3887Kb)  |  收藏  |  浏览/下载：347/79  |  提交时间：2018/10/09
Biologically inspired model  object recognition  semantic learning  structural learning