Click on the above“Beginner Learning Vision” to select “Add to Favorites” or “Pin” Heavyweight content delivered first hand 1 Background Introduction Object detection, or object detection, is to accurately find the location of objects in a given image and label the categories of those objects. The object detection problem has two main issues: where the … Read more
Click on the above“Beginner’s Guide to Vision“, select to add “Starred” or “Top“ Heavyweight material delivered immediately 1. R-CNN: Rich feature hierarchies for accurate object detection and semantic segmentation Technical route: selective search + CNN + SVMs Step 1: Candidate box extraction (selective search) Training: Given an image, use the selective search method to extract … Read more
R-CNN series object detection networks are the first series of networks in the field of object detection using deep learning, serving as a typical Two-Stage object detection network. This series includes R-CNN, Fast R-CNN, and Faster R-CNN, and as their names suggest, each generation is faster than the previous one, primarily because the characteristic of … Read more