thank you for the interesting paper. I recently trained a ViT-Giant model for the medical domain with 700 million images using DinoV2 for 320k iterations, and the results are good. However, I noticed ...
Abstract: A vision transformer (ViT) is developed to perform beam profile classification on beam profiles coupled out from silicon photonics (SiPh) gratings. The classification task is aimed to ...
Abstract: Vision transformer (ViT) variants have made rapid advances on a variety of computer vision tasks. However, their performance on corrupted inputs, which are inevitable in realistic use cases ...
Over the past few years, a growing number of researchers have dedicated their efforts to focusing on temporal modeling. The advent of transformer-based methods has notably advanced the field of 2D ...
While working as a nurse anesthetist, Amanda Angus thought the process of administering ketamine infusions seemed “sterile” and “impersonal.” Brothers selected as Young Entrepreneur Award winners at ...
Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...
Hi, I have question regarding the training of ViT-g /14 model, in the paper, it is stated that the batch size is 3072. And in the vitg14.yaml, the batch_size_per_gpu is set to be 12, so I guess the ...
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