Reinforcement Learning for Visual Object Detection

• Published in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Vol. 2016-January; pp. 2894 - 2902
• Main Authors: Mathe, Stefan, Pirinen, Aleksis, Sminchisescu, Cristian
• Format: Conference Proceeding Book Chapter
• Language: English
• Published: IEEE 01.06.2016
• Subjects: Computational efficiency; Computational modeling; Computer and Information Science; Computer and Information Sciences; Computer graphics and computer vision; Computer Vision and Robotics (Autonomous Systems); Data- och informationsvetenskap (Datateknik); Datorgrafik och datorseende; Datorseende och robotik (autonoma system); Detectors; Feature extraction; History; Natural Sciences; Naturvetenskap; Object detection; Visualization

One of the most widely used strategies for visual object detection is based on exhaustive spatial hypothesis search. While methods like sliding windows have been successful and effective for many years, they are still brute-force, independent of the image content and the visual category being search...