Vision Transformer
Vision Transformer (ViT) is an image classification architecture introduced by Google Research in 2020 that applies the Transformer architecture — originally designed for text — directly to images, by splitting an image into fixed-size patches and treating each patch as a token in a sequence, rather than using…
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Glossary Terms(5)
YOLO
YOLO (You Only Look Once) is a family of real-time object detection models, originally introduced by Joseph Redmon in 2016, that detect and classify multiple o…
ResNet
ResNet (Residual Network) is a convolutional neural network architecture introduced by Microsoft Research in 2015 that uses "skip connections" to let very deep…
Vision Transformer (ViT)
Vision Transformer (ViT) is an image classification architecture introduced by Google Research in 2020 that applies the Transformer architecture — originally d…
Diffusion Transformer (DiT)
A Diffusion Transformer (DiT) is a generative architecture that replaces the convolutional U-Net backbone traditionally used in diffusion models with a Transfo…
Vision-Language Model (VLM)
A Vision-Language Model (VLM) is an AI model trained to jointly understand images and text, enabling tasks such as describing an image in words, answering ques…