object-detection-for-dummies-part-2-cnn-dpm-and-overfeat.log
|src: lilianweng.github.io
Object Detection for Dummies Part 2: CNN, DPM and Overfeat
Part 1 of the “Object Detection for Dummies” series introduced: (1) the concept of image gradient vector and how HOG algorithm summarizes the information across all the gradient vectors in one image; (2) how the image segmentation algorithm works to detect regions that potentially contain objects; (3) how the Selective Search algorithm refines the outcomes of image segmentation for better region proposal.
