Adaptive Discriminative Deep Correlation Filter for Visual Object Tracking
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2018.2888492
Abstract: Correlation filter trackers building on deep convolution neural networks (CNNs) contribute efficient visual object trackers but remain challenged with severe target appearance variations. The reason for this is that CNNs trained for image classification tasks… read more here.
Keywords: correlation filter; visual object; adaptive discriminative; correlation ... See more keywords
Self-Supervised Deep Correlation Tracking
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3037518
Abstract: The training of a feature extraction network typically requires abundant manually annotated training samples, making this a time-consuming and costly process. Accordingly, we propose an effective self-supervised learning-based tracker in a deep correlation framework (named:… read more here.
Keywords: self supervised; feature extraction; extraction network; correlation ... See more keywords