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Search Results for: computer vision – Page 5

AI Mysteries
Yugesh Verma

Hands-on guide to using Vision transformer for Image classification

Vision transformer (ViT) is a transformer used in the field of computer vision that works based on the working nature of the transformers used in the field of natural language processing. Internally, the transformer learns by measuring the relationship between input token pairs. In computer vision, we can use the patches of images as the token.

AI News & Update
Poornima Nataraj

Pytorch Introduced New Multi-Weight Support API for TorchVision

The New Multi-Weight API allows loading different pre-trained weights on the same model variant, keeps track of vital meta-data such as the classification labels, and includes the preprocessing transforms necessary for using the models

AI Mysteries
Krishna Rastogi

Hands-on Vision Transformers with PyTorch

ViT breaks an input image of 16×16 to a sequence of patches, just like a series of word embeddings generated by an NLP Transformers. Each patch gets flattened into a single vector in a series of interconnected channels of all pixels in a patch, then projects it to desired input dimension.

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