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Automatic Selection of the Optimal Local Feature Detector.

, , , , and . ICIAR, volume 9730 of Lecture Notes in Computer Science, page 284-289. Springer, (2016)

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Memorable Maps: A Framework for Re-defining Places in Visual Place Recognition., , , and . CoRR, (2018)A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors., , , , and . CoRR, (2016)Are State-of-the-art Visual Place Recognition Techniques any Good for Aerial Robotics?, , , , , and . CoRR, (2019)Evaluating the angular sensitivity of corner detectors., , , and . VECIMS, page 28-31. IEEE, (2011)Assessing Capsule Networks with Biased Data., , , , and . SCIA, volume 11482 of Lecture Notes in Computer Science, page 90-100. Springer, (2019)Evaluating Deep Convolutional Neural Networks for Material Classification., , , , , , and . VISIGRAPP (5: VISAPP), page 346-352. SciTePress, (2017)OpenSceneVLAD: Appearance Invariant, Open Set Scene Classification., , , , and . ICRA, page 4578-4584. IEEE, (2022)Novel Lockstep-based Approach with Roll-back and Roll-forward Recovery to Mitigate Radiation-Induced Soft Errors., , , , and . NorCAS, page 1-7. IEEE, (2020)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)