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CASIA OpenIR
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IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 329-341
作者:  Feng, Cheng;  Chen, Zhen;  Zhang, Congxuan;  Hu, Weiming;  Li, Bing;  Lu, Feng
收藏  |  浏览/下载：12/0  |  提交时间：2024/03/26
Estimation  Iterative methods  Cameras  Task analysis  Feature extraction  Decoding  Training  Monocular depth estimation  iterative refinement  self-supervised learning  deep learning  
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：26/0  |  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：65/0  |  提交时间：2023/11/17
Multi-object tracking  one shot  multiattention feature learning  block erasing strategy  object occlusions  
A Closer Look at Self-Supervised Lightweight Vision Transformers 会议论文
, Honolulu, Hawaii, USA, 2023-7
作者:  Wang, Shaoru;  Gao, Jin;  Li, Zeming;  Zhang, Xiaoqin;  Weiming, Hu
Adobe PDF(3478Kb)  |  收藏  |  浏览/下载：173/60  |  提交时间：2023/09/20
Vision Transformer  Self-supervised Learning  Lightweight Networks  Knowledge Distillation  
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：147/0  |  提交时间：2023/03/20
Detection of targets with small image sizes  Feature enhancement  Multi-scale combination Self-attention  
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：87/0  |  提交时间：2023/11/17
Attention mechanism  deep learning (DL)  hyperspectral images (HSIs)  image fusion  multispectral images (MSIs)  
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：54/0  |  提交时间：2023/11/17
Dataset  infrared small target detection (IRSTD)  multiple information  noise prediction  regional positioning  
3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 卷号: 26, 期号: 11, 页码: 5321-5331
作者:  Liu, Shuaiqi;  Wang, Xu;  Zhao, Ling;  Li, Bing;  Hu, Weiming;  Yu, Jie;  Zhang, Yu-Dong
收藏  |  浏览/下载：159/0  |  提交时间：2023/03/20
Electroencephalography  Feature extraction  Emotion recognition  Convolution  Brain modeling  Deep learning  Neural networks  3D convolution attention neural network  dual attention learning  EEG emotion recognition  spatio-temporal feature  
Parallel multiscale context-based edge-preserving optical flow estimation with occlusion detection 期刊论文
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2022, 卷号: 101, 页码: 14
作者:  Zhang, Congxuan;  Feng, Cheng;  Chen, Zhen;  Hu, Weiming;  Li, Ming
收藏  |  浏览/下载：216/0  |  提交时间：2021/12/28
Optical flow  Occlusion detection  Edge-preserving  Parallel multiscale context  Convolutional neural network  
Rethinking the Competition Between Detection and ReID in Multiobject Tracking 期刊论文
IEEE Transactions on Image Processing, 2022, 卷号: 31, 页码: 3182-3196
作者:  Liang, Chao;  Zhang, Zhipeng;  Zhou, Xue;  Zhu, Shuyuan;  Li, Bing;  Hu, Weiming
Adobe PDF(13361Kb)  |  收藏  |  浏览/下载：182/32  |  提交时间：2022/06/14