https://www.selleckchem.com/EGFR(HER).html
The network is trained through end-to-end optimization using a peculiar training set, including regular LFs and unstructured LFs. The proposed pipeline shows superiority on solving both the large disparity and the non-Lambertian challenges.Existing RGB-D salient object detection (SOD) models usually treat RGB and depth as independent information and design separate networks for feature extraction from each. Such schemes can easily be constrained by a limited amount of training data or over-reliance on an elaborately designed training process.
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