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[Paper Summary] Class-Aware Adversarial Transformers for Medical Image Segmentation
Deep Learning

[Paper Summary] Class-Aware Adversarial Transformers for Medical Image Segmentation

Nikhil Tomar3rd February 20233rd February 2023
Transformer-based models have shown remarkable progress in the field of medical image segmentation. However, the existing methods still suffer from limitations such as loss of information and inaccurate segmentation label...
What is MobileViT?
Computer Vision Deep Learning

What is MobileViT?

Nikhil Tomar15th November 202215th November 2022
This article covers an overall summary of the MobileViT: Light-Weight, General-Purpose, and Mobile-Friendly Vision Transformers research paper. MobileViT is a lightweight and general-purpose vision transformer for mobile vision tasks. It...
Vision Transformer – An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale
Computer Vision Deep Learning

Vision Transformer – An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale

Nikhil Tomar2nd November 20226th February 2023
In this blog post, we are going to learn about the Vision Transformer (ViT). It is a pure Transformer based architecture used for image classification tasks. Vision Transformer (ViT) has...

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