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Toward Human-centered XAI in Practice: A survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 740-770
作者:  Xiangwei Kong;  Shujie Liu;  Luhao Zhu
Adobe PDF(1550Kb)  |  收藏  |  浏览/下载：10/1  |  提交时间：2024/07/18
Artificial intelligence (AI) application  explainable AI (XAI)  human-centered design  visual computing  medical diagnosis  
Towards Domain-agnostic Depth Completion 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 652-669
作者:  Guangkai Xu;   Wei Yin;   Jianming Zhang;   Oliver Wang;  Simon Niklaus;   Simon Chen;   Jia-Wang Bian
Adobe PDF(17196Kb)  |  收藏  |  浏览/下载：9/2  |  提交时间：2024/07/18
Monocular depth estimation  depth completion  zero-shot generalization  scene reconstruction  neural network  
Rethinking Global Context in Crowd Counting 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 4, 页码: 640-651
作者:  Guolei Sun;   Yun Liu;   Thomas Probst;   Danda Pani Paudel;  Nikola Popovic;   Luc Van Gool
Adobe PDF(2388Kb)  |  收藏  |  浏览/下载：12/4  |  提交时间：2024/07/18
Crowd counting  vision transformer  global context  attention  density map  
Autonomy Evaluation of Unmanned Systems Based on Task Models 期刊论文
Machine Intelligence Research, 2024, 页码: 1-16
作者:  Yi Zou;  Zehao Ni;  Xun Lei;  Chi Zhang
Adobe PDF(1801Kb)  |  收藏  |  浏览/下载：39/11  |  提交时间：2024/06/27
Adaptively Enhancing Facial Expression Crucial Regions via a Local Non-local Joint Network 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 331-348
作者:  Guanghui Shi;  Shasha Mao;  Shuiping Gou;  Dandan Yan;  Licheng Jiao;  Lin Xiong
Adobe PDF(3926Kb)  |  收藏  |  浏览/下载：56/18  |  提交时间：2024/04/23
Facial expression recognition, deep neural network, multiple network ensemble, attention network, facial crucial regions  
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：58/10  |  提交时间：2024/04/23
Image anomaly detection, defect detection, industrial manufacturing, deep learning, computer vision