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CASIA OpenIR

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Semantic Policy Network for Zero-Shot Object Goal Visual Navigation 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 11, 页码: 7655-7662
作者:  Zhao, Qianfan;  Zhang, Lu;  He, Bin;  Liu, Zhiyong
收藏  |  浏览/下载：71/0  |  提交时间：2023/12/21
Deep learning  path planning  reinforcement learning  vision-based navigation  
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：68/0  |  提交时间：2023/11/17
Incremental learning  Few-shot learning  Object detection  
Frequency-based pseudo-domain generation for domain generalizable object detection 期刊论文
NEUROCOMPUTING, 2023, 卷号: 542, 页码: 12
作者:  Zhang, Siqi;  Zhang, Lu;  Liu, Zhi-Yong
收藏  |  浏览/下载：85/0  |  提交时间：2023/11/17
Domain generalization  Object detection  Transfer learning  Self-Supervised learning  
Incremental few-shot object detection via knowledge transfer 期刊论文
PATTERN RECOGNITION LETTERS, 2022, 卷号: 156, 页码: 67-73
作者:  Feng, Hangtao;  Zhang, Lu;  Yang, Xu;  Liu, Zhiyong
收藏  |  浏览/下载：161/0  |  提交时间：2022/07/25
Machine learning  Convolutional neural networks  Transfer learning  Incremental few-shot object detection  
Weakly Aligned Feature Fusion for Multimodal Object Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Zhang, Lu;  Liu, Zhiyong;  Zhu, Xiangyu;  Song, Zhan;  Yang, Xu;  Lei, Zhen;  Qiao, Hong
收藏  |  浏览/下载：190/0  |  提交时间：2022/01/27
Object detection  Feature extraction  Detectors  Robustness  Cameras  Automation  Training  Deep learning  feature fusion  multimodal object detection  pedestrian detection  
State Primitive Learning to Overcome Catastrophic Forgetting in Robotics 期刊论文
COGNITIVE COMPUTATION, 2020, 页码: 9
作者:  Xiong, Fangzhou;  Liu, Zhiyong;  Huang, Kaizhu;  Yang, Xu;  Qiao, Hong
收藏  |  浏览/下载：175/0  |  提交时间：2021/01/06
Catastrophic forgetting  State primitives  Robotics  Continual learning  
Caging a novel object using multi-task learning method 期刊论文
NEUROCOMPUTING, 2019, 卷号: 351, 页码: 146-155
作者:  Su, Jianhua;  Chen, Bin;  Qiao, Hong;  Liu, Zhi-yong
收藏  |  浏览/下载：283/0  |  提交时间：2019/07/11
Multi-task learning  Grasping  Kernel regression