Results 41 to 50 of about 2,993,763 (334)
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching [PDF]
AAAI Conference on Artificial Intelligence, 2021 Knowledge distillation extracts general knowledge from a pretrained teacher network and provides guidance to a target student network. Most studies manually tie intermediate features of the teacher and student, and transfer knowledge through predefined ...
Mingi Ji, Byeongho Heo, Sungrae Park
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Robust Feature Matching with Spatial Smoothness Constraints
Remote Sensing, 2020 Feature matching is to detect and match corresponding feature points in stereo pairs, which is one of the key techniques in accurate camera orientations.
Xu Huang, Xue Wan, Daifeng Peng
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2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Current feature matching methods focus on point-level matching, pursuing better representation learning of individual features, but lacking further understanding of the scene. This results in significant performance degradation when handling challenging scenes such as scenes with large viewpoint and illumination changes.
Lu, Xiaoyong +3 more
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Guide Local Feature Matching by Overlap Estimation [PDF]
AAAI Conference on Artificial Intelligence, 2022 Local image feature matching under large appearance, viewpoint, and distance changes is challenging yet important. Conventional methods detect and match tentative local features across the whole images, with heuristic consistency checks to guarantee ...
Ying Chen +4 more
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Matching Algorithm of Statistical Optimization Feature Based on Grid Method
Xibei Gongye Daxue Xuebao, 2019 The matching algorithm based on image feature points is widely used in image retrieval, target detection, identification and other image processing fields.
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An Optical Remote Sensing Image Matching Method Based on the Simple and Stable Feature Database
Applied Sciences, 2023 Satellite remote sensing has entered the era of big data due to the increase in the number of remote sensing satellites and imaging modes. This presents significant challenges for the processing of remote sensing systems and will result in extremely high
Zilu Zhao, Hui Long, Hongjian You
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OmniGlue: Generalizable Feature Matching with Foundation Model Guidance [PDF]
Computer Vision and Pattern RecognitionThe image matching field has been witnessing a contin-uous emergence of novel learnable feature matching techniques, with ever-improving performance on conventional benchmarks.
Hanwen Jiang +5 more
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DFM: A Performance Baseline for Deep Feature Matching [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 A novel image matching method is proposed that utilizes learned features extracted by an off-the-shelf deep neural network to obtain a promising performance.
Ufuk Efe, K. G. Ince, A. Alatan
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Research on Adaptive ORB-SURF Image Matching Algorithm Based on Fusion of Edge Features
IEEE Access, 2022 The traditional speeded-up robust features (SURF) algorithm has certain stability in scale, rotation, illumination and other changes. However, this algorithm has problems such as large amount of computation, low matching accuracy, and time-consuming in ...
Leng Han +4 more
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Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed [PDF]
Computer Vision and Pattern RecognitionWe present a novel method for efficiently producing semi-dense matches across images. Previous detector-free matcher LoFTR has shown remarkable matching capability in handling large-viewpoint change and texture-poor scenarios but suffers from low ...
Yifan Wang +4 more
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