Learn from IIIT, on the fly.

Computer Vision

Computer Vision (Spring 2025-26) covers modern deep-learning approaches to visual understanding: object detection, dense prediction, pose estimation, 3D representations, NeRF & 3D Gaussian Splatting, Transformers and Vision Transformers, self-supervised learning (SimCLR, DINO, MAE, JEPA), modern transformer engineering, vision-language models, and video understanding. This revision hub distils the entire syllabus into chapter-wise notes, cheatsheets, high-yield topics and practice questions — designed to revise the whole course in an evening, not a week.