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• W2952148992 abstract "Matching with local image descriptors is a fundamental task in many computer vision applications. This paper describes the WISW contest held within the framework of the CAIP 2019 conference, aimed at benchmarking recent descriptors in challenging planar and non-planar real image matching scenarios. According to the contest results, the descriptors submitted to the competition, most of which based on deep learning, perform significantly better than the current state-of-the-art in image matching. Nonetheless, there is still room for improvement, especially in the case of non-planar scenes." @default.
• W2952148992 created "2019-06-27" @default.
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• W2952148992 date "2019-01-01" @default.
• W2952148992 modified "2023-09-25" @default.
• W2952148992 title "Which Is Which? Evaluation of Local Descriptors for Image Matching in Real-World Scenarios" @default.
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• W2952148992 doi "https://doi.org/10.1007/978-3-030-29888-3_24" @default.
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