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CASIA OpenIR

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基于可解释注意力部件模型的行人重识别方法 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 10, 页码: 2159-2171
作者:  周勇;  王瀚正;  赵佳琦;  陈莹;  姚睿;  陈思霖
Adobe PDF(22977Kb)  |  收藏  |  浏览/下载：3/2  |  提交时间：2024/04/24
行人重识别  注意力机制  可解释深度学习  部件模型  
The Life Cycle of Knowledge in Big Language Models: A Survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 217-238
作者:  Boxi Cao;  Hongyu Lin;  Xianpei Han;  Le Sun
Adobe PDF(1430Kb)  |  收藏  |  浏览/下载：9/2  |  提交时间：2024/04/23
Pre-trained language model, knowledge acquisition, knowledge representation, knowledge probing, knowledge editing, knowledge application  
Deep Industrial Image Anomaly Detection: A Survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 104-135
作者:  Jiaqi Liu;  Guoyang Xie;  Jinbao Wang;  Shangnian Li;  Chengjie Wang;  Feng Zheng;  Yaochu Jin
Adobe PDF(3376Kb)  |  收藏  |  浏览/下载：10/1  |  提交时间：2024/04/23
Image anomaly detection, defect detection, industrial manufacturing, deep learning, computer vision  
Effective Model Compression via Stage-wise Pruning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 937-951
作者:  Ming-Yang Zhang;  Xin-Yi Yu;  Lin-Lin Ou
Adobe PDF(2394Kb)  |  收藏  |  浏览/下载：7/2  |  提交时间：2024/04/23
Automated machine learning (AutoML), channel pruning, model compression, distillation, convolutional neural networks (CNN)  
Multitask Learning with Multiscale Residual Attention for Brain Tumor Segmentation and Classification 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 897-908
作者:  Gaoxiang Li;  Xiao Hui;  Wenjing Li;  Yanlin Luo
Adobe PDF(2873Kb)  |  收藏  |  浏览/下载：7/2  |  提交时间：2024/04/23
Brain tumor segmentation and classification, multitask learning, multiscale residual attention module (MRAM), dynamic weight training, prior knowledge  
State of the Art on Deep Learning-enhanced Rendering Methods 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 799-821
作者:  Qi Wang;  Zhihua Zhong;  Yuchi Huo;  Hujun Bao;  Rui Wang
Adobe PDF(6540Kb)  |  收藏  |  浏览/下载：7/2  |  提交时间：2024/04/23
Neural rendering, computer graphics, scene representation, rendering, post-processing  
Pruning-aware Sparse Regularization for Network Pruning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 109-120
作者:  Nan-Fei Jiang
Adobe PDF(1665Kb)  |  收藏  |  浏览/下载：2/1  |  提交时间：2024/04/23
Deep learning  convolutional neural network (CNN)  model compression and acceleration  network pruning  regularization  
Towards a New Paradigm for Brain-inspired Computer Vision 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 412-424
作者:  Xiao-Long Zou;  Tie-Jun Huang;  Si Wu
Adobe PDF(1615Kb)  |  收藏  |  浏览/下载：4/0  |  提交时间：2024/04/23
Brain-inspired computer vision  spatio-temporal patterns  object detection  object tracking  object recognition  
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 366-411
作者:  Yang Wu;  Ding-Heng Wang;  Xiao-Tong Lu;  Fan Yang;  Man Yao;  Wei-Sheng Dong;  Jian-Bo Shi;  Guo-Qi Li
Adobe PDF(6780Kb)  |  收藏  |  浏览/下载：10/2  |  提交时间：2024/04/23
Visual recognition  deep neural networks (DNNS)  brain-inspired methodologies  network compression  dynamic inference  survey  
Facial-sketch Synthesis: A New Challenge 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 4, 页码: 257-287
作者:  Deng-Ping Fan;  Ziling Huang;  Peng Zheng;  Hong Liu;  Xuebin Qin;  Luc Van Gool
Adobe PDF(12340Kb)  |  收藏  |  浏览/下载：5/0  |  提交时间：2024/04/23
Facial sketch synthesis (FSS)  facial sketch dataset  benchmark  attribute  style transfer