IEEE TPAMI

RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion

RDFC-GAN：基于RGB-深度融合的循环GAN用于室内深度补全

Haowen Wang, Zhengping Che, Yufan Yang, Mingyuan Wang, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang

机构 * State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China（网络与交换技术国家重点实验室，北京邮电大学，中国） ； Midea Group, China（美的集团，中国） ； School of Computer Science, Beijing University of Posts and Telecommunications, China（计算机科学学院，北京邮电大学，中国） 纠错

AI总结 RDFC-GAN通过融合RGB和深度图像，利用循环GAN和自适应融合模块提升室内深度补全效果。

Comments Haowen Wang and Zhengping Che are with equal contributions. Paper accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). An earlier version has been accepted by CVPR 2022 (arXiv:2203.10856). arXiv admin note: text overlap with arXiv:2203.10856

Journal ref IEEE Transactions on Pattern Analysis and Machine Intelligence (Volume: 46, Issue: 11, November 2024)

Winsor-CAM: Human-Tunable Visual Explanations from Deep Networks via Layer-Wise Winsorization

Winsor-CAM: 通过逐层Winsor化从深度网络中获得可调的人类可解释性视觉解释

Casey Wall, Longwei Wang, Rodrigue Rizk, KC Santosh

机构 * USD Artificial Intelligence Research , Department of Computer Science, University of South Dakota（USD人工智能研究、计算机科学系，南达科他大学） 纠错

AI总结 Winsor-CAM通过逐层Winsor化和用户可调参数，提供高效稳健的视觉解释方法，提升CNN在医疗影像中的定位与保真度性能。

Comments 19 pages, 11 figures, 12 tables. Accepted for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence