Traditional Detection Models

Faster R-CNN Explained for Object Detection Tasks (DigitalOcean)

Normally, the traditional detection pipeline follows three major tasks:

  • Region Proposal: identify candidate regions potentially containing objects (> 2.000).

    • Selective Search

    • Edge Boxes

  • Feature Extraction: fixed-length feature vector using image descriptors.

  • Classification: to assign the background class or one of the object classes to detect. Initially using an SVM classifier.

PreviousTwo-Stage detectorsNextR-CNN

Last updated