Courses/Computer Vision

Computer Vision

CSE471

Prof. Makarand Tapaswi + Prof. Charu Sharma•Spring 2025-26•4 credits

Revision Notes/Unit 1 — Object Detection

Unit 1 — Object Detection

From R-CNN's slow per-region forwards to YOLO's single-shot grid prediction: detection is the bedrock of modern vision. Master the R-CNN family, anchors, NMS, mAP, and the losses that make single-stage detectors competitive.

Object Detection — R-CNN family, YOLO, NMS, mAP

18 min

Detection asks two questions per object: 'where' (a bounding box) and 'what' (a class). The history of the field is a story of moving the expensive parts of that pipeline — region proposals, per-region computation, ranking — onto the GPU and into a single shared backbone.