Region of Interests from Attention weights

The talk explains how to use attention weights from a Vision‑Transformer model to identify and visualize image regions that contain the most important features.

Overview

This project discusses using attention weights from a VIT-style model to extract regions of interest from input images. Regions of interest can be considered the image’s most important ‘part’, where the most important features exist.