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Siamese Network for RGB-D Salient Object Detection and Beyond
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Ge-Peng Ji, Ce Zhu, Keren Fu
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2012
Localization and mapping has been an area of great importance and interest to the robotics and computer vision community. Localization and mapping has traditionally been accomplished with range sensors such as lasers and sonars. Recent improvements in processing power coupled with advancements in image matching and motion estimation has allowed ...
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Localization and mapping has been an area of great importance and interest to the robotics and computer vision community. Localization and mapping has traditionally been accomplished with range sensors such as lasers and sonars. Recent improvements in processing power coupled with advancements in image matching and motion estimation has allowed ...
openaire +1 more source
Homogeneous-to-Heterogeneous: Unsupervised Learning for RGB-Infrared Person Re-Identification
IEEE Transactions on Image Processing, 2021Xiaohua Xie +2 more
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CIR-Net: Cross-Modality Interaction and Refinement for RGB-D Salient Object Detection
IEEE Transactions on Image Processing, 2022Xiaochun Cao, Qingming Huang, Yao Zhao
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SiamCDA: Complementarity- and Distractor-Aware RGB-T Tracking Based on Siamese Network
IEEE Transactions on Circuits and Systems for Video Technology, 2022Qiang Zhang, Jungong Han, Xueru liu
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Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks
IEEE Transactions on Neural Networks and Learning Systems, 2021Ming-Ming Cheng +2 more
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Learning Discriminative Cross-Modality Features for RGB-D Saliency Detection
IEEE Transactions on Image Processing, 2022Jinhui Tang, Fengyun Wang, Jinshan Pan
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RGBD: Learning depth-weighted RGB patches for RGB-D indoor semantic segmentation
Neurocomputing, 2021Daniel Cohen-Or +2 more
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Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection
IEEE Transactions on Circuits and Systems for Video Technology, 2022Wei Gao, Weisi Lin, Siwei Ma
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