Performance Evaluation of State-of-the-Art Local Feature Detectors and Descriptors in the Context of Longitudinal Registration of Retinal Images
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Medical Systems"
DOI: 10.1007/s10916-018-0911-z
Abstract: In this paper we systematically evaluate the performance of several state-of-the-art local feature detectors and descriptors in the context of longitudinal registration of retinal images. Longitudinal (temporal) registration facilitates to track the changes in the… read more here.
Keywords: feature detectors; pathology; registration; performance ... See more keywords
Continuous Dropout
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2017.2750679
Abstract: Dropout has been proven to be an effective algorithm for training robust deep networks because of its ability to prevent overfitting by avoiding the co-adaptation of feature detectors. Current explanations of dropout include bagging, naive… read more here.
Keywords: feature detectors; dropout; adaptation feature; continuous dropout ... See more keywords
Robustness evaluation of remote-sensing image feature detectors with TH priori-information data set
Sign Up to like & getrecommendations! Published in 2020 at "China Communications"
DOI: 10.23919/jcc.2020.10.016
Abstract: In this paper, we build a remote-sensing satellite imagery priori-information data set, and propose an approach to evaluate the robustness of remote-sensing image feature detectors. The building TH Priori-Information (TPI) data set with 2297 remote… read more here.
Keywords: sensing image; remote sensing; feature detectors; feature ... See more keywords