LampMark is trained using CelebA-HQ and tested on CelebA-HQ and LFW. We do not own the datasets, and they can be downloaded from the official webpages. After splitting the image data following the ...
Abstract: Handheld ultrasound devices face usage limitations due to user inexperience and cannot benefit from supervised deep learning without extensive expert annotations. Moreover, the models ...
Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...
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