Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation

Typically, deep learning architectures are handcrafted for their respective learning problem. As an alternative, neural architecture search (NAS) has been proposed where the architecture's structure is learned in an additional optimization step... (read more)

Results in Papers With Code
(↓ scroll down to see all results)