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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：30/0  |  提交时间：2024/02/22
Few-shot learning  Metric-based learning framework  Softmax loss improvement  
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：189/63  |  提交时间：2023/09/20
Vision Transformer  Self-supervised Learning  Lightweight Networks  Knowledge Distillation  
RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation 会议论文
, New York, 2020-2
作者:  Wang, Shaoru;  Gong, Yongchao;  Xing, Junliang;  Huang, Lichao;  Huang, Chang;  Hu, Weiming
Adobe PDF(1860Kb)  |  收藏  |  浏览/下载：77/18  |  提交时间：2023/09/20
目标检测  实例分割  
Improving Visual Grounding With Visual-Linguistic Verification and Iterative Reasoning 会议论文
, New Orleans, Louisiana, 2022-6
作者:  Li Yang;  Yan Xu;  Chunfeng Yuan;  Wei Liu;  Bing Li;  Weiming Hu
Adobe PDF(2060Kb)  |  收藏  |  浏览/下载：149/43  |  提交时间：2023/06/26
TranSkeleton: Hierarchical Spatial-Temporal Transformer for Skeleton-Based Action Recognition 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2023, 页码: 1-12
作者:  Haowei Liu;  Yongcheng Liu;  Yuxin Chen;  Chunfeng Yuan;  Bing Li;  Weiming Hu
Adobe PDF(1276Kb)  |  收藏  |  浏览/下载：204/74  |  提交时间：2023/04/28
Learning to Explore Distillability and Sparsability: A Joint Framework for Model Compression 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022, 卷号: 45, 期号: 3, 页码: 3378-3395
作者:  Yufan Liu;  Jiajiong Cao;  Bing Li;  Weiming Hu;  Stephen Maybank
Adobe PDF(3314Kb)  |  收藏  |  浏览/下载：133/37  |  提交时间：2023/04/24
Cross-Architecture Knowledge Distillation 会议论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, Macau SAR, China, 2022.12.4-2022.12.8
作者:  Yufan Liu;  Jiajiong Cao;  Bing Li;  Weiming Hu;  Jingting Ding;  Liang Li
Adobe PDF(1020Kb)  |  收藏  |  浏览/下载：130/42  |  提交时间：2023/04/23
Knowledge distillation  Cross architecture  Model compression  Deep learning  
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:  Wang, Shaoru;  Gao, Jin;  Li, Bing;  Hu, Weiming
Adobe PDF(1489Kb)  |  收藏  |  浏览/下载：202/25  |  提交时间：2022/11/14
Annotations  Noise measurement  Detectors  Task analysis  Training  Object detection  Degradation  Object detection  noisy label  Bayesian estimation  teacher-student learning  
PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling 期刊论文
IEEE Transactions on Image Processing, 2022, 卷号: 31, 页码: 5121-5133
作者:  Yang, Li;  Xu, Yan;  Wang, Shaoru;  Yuan, Chunfeng;  Zhang, Ziqi;  Li, Bing;  Hu, Weiming
Adobe PDF(3190Kb)  |  收藏  |  浏览/下载：232/32  |  提交时间：2022/09/19
Object detection  prediction decoupling  convolutional neural network  
SDTP: Semantic-aware Decoupled Transformer Pyramid for Dense Image Prediction 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2022, 页码: 14
作者:  Li Zekun;  Li Yufan;  Li BIng;  Feng Bailan;  Wu Kebin;  Peng Chengwei;  Hu Weiming
Adobe PDF(11183Kb)  |  收藏  |  浏览/下载：172/20  |  提交时间：2022/06/20