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CASIA OpenIR
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Improving metric-based few-shot learning with dynamically scaled softmax loss 期刊论文
IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 15
作者:  Zhang, Yu;  Zuo, Xin;  Zheng, Xuxu;  Gao, Xiaoyong;  Wang, Bo;  Hu, Weiming
收藏  |  浏览/下载：57/0  |  提交时间：2024/02/22
Few-shot learning  Metric-based learning framework  Softmax loss improvement  
Jointing Recurrent Across-Channel and Spatial Attention for Multi-Object Tracking With Block-Erasing Data Augmentation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 8, 页码: 4054-4069
作者:  Deng, Keyu;  Zhang, Congxuan;  Chen, Zhen;  Hu, Weiming;  Li, Bing;  Lu, Feng
收藏  |  浏览/下载：117/0  |  提交时间：2023/11/17
Multi-object tracking  one shot  multiattention feature learning  block erasing strategy  object occlusions  
A Robust Infrared Small Target Detection Method Jointing Multiple Information and Noise Prediction: Algorithm and Benchmark 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 17
作者:  Meng, Siqiang;  Zhang, Congxuan;  Shi, Qi;  Chen, Zhen;  Hu, Weiming;  Lu, Feng
收藏  |  浏览/下载：92/0  |  提交时间：2023/11/17
Dataset  infrared small target detection (IRSTD)  multiple information  noise prediction  regional positioning  
Circle-Net: An Unsupervised Lightweight-Attention Cyclic Network for Hyperspectral and Multispectral Image Fusion 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 卷号: 16, 页码: 4499-4515
作者:  Liu, Shuaiqi;  Miao, Siyu;  Liu, Siyuan;  Li, Bing;  Hu, Weiming;  Zhang, Yu-Dong
收藏  |  浏览/下载：125/0  |  提交时间：2023/11/17
Attention mechanism  deep learning (DL)  hyperspectral images (HSIs)  image fusion  multispectral images (MSIs)  
Multi-scale self-attention-based feature enhancement for detection of targets with small image sizes 期刊论文
PATTERN RECOGNITION LETTERS, 2023, 卷号: 166, 页码: 46-52
作者:  Deng, Ying;  Hu, Xingliang;  Li, Bing;  Zhang, Congxuan;  Hu, Weiming
收藏  |  浏览/下载：253/0  |  提交时间：2023/03/20
Detection of targets with small image sizes  Feature enhancement  Multi-scale combination Self-attention