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Found 2 papers, 1 papers with code
Counting with Adaptive Auxiliary Learning
This paper proposes an adaptive auxiliary task learning based approach for object counting problems.
Development and Validation of a Novel Prognostic Model for Predicting AMD Progression Using Longitudinal Fundus Images
We propose a novel deep learning method to predict the progression of diseases using longitudinal imaging data with uneven time intervals, which requires no prior feature extraction.
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