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Assessing the performance bounds of local feature detectors: Taking inspiration from electronics design practices.

, , , , and . IWSSIP, page 166-169. IEEE, (2015)

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Visual Place Recognition for Aerial Robotics: Exploring Accuracy-Computation Trade-off for Local Image Descriptors., , , , , and . AHS, page 103-108. IEEE, (2019)Assessing Capsule Networks with Biased Data., , , , and . SCIA, volume 11482 of Lecture Notes in Computer Science, page 90-100. Springer, (2019)An Efficient and Scalable Collection of Fly-Inspired Voting Units for Visual Place Recognition in Changing Environments., , , , and . IEEE Robotics Autom. Lett., 7 (2): 2527-2534 (2022)Data-Efficient Sequence-Based Visual Place Recognition with Highly Compressed JPEG Images., , , , and . CoRR, (2023)Improving visual place recognition in changing environments.. University of Essex, Colchester, UK, (2023)British Library, EThOS.Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database., , , , and . CoRR, (2017)Data Efficient Visual Place Recognition Using Extremely JPEG-Compressed Images., , , , and . CoRR, (2022)Highly-Efficient Binary Neural Networks for Visual Place Recognition., , , and . IROS, page 5493-5500. IEEE, (2022)Assessing the performance bounds of local feature detectors: Taking inspiration from electronics design practices., , , , and . IWSSIP, page 166-169. IEEE, (2015)Automatic Selection of the Optimal Local Feature Detector., , , , and . ICIAR, volume 9730 of Lecture Notes in Computer Science, page 284-289. Springer, (2016)