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Deep CORAL: Correlation Alignment for Deep Domain Adaptation

ECCV Workshops, 2016
Deep neural networks are able to learn powerful representations from large quantities of labeled input data, however they cannot always generalize well across changes in input distributions.
Baochen Sun, Kate Saenko
semanticscholar   +1 more source

Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

European Conference on Computer Vision, 2016
Discriminative Correlation Filters (DCF) have demonstrated excellent performance for visual object tracking.
Martin Danelljan   +3 more
semanticscholar   +1 more source

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