Synthesizing Training Data for Object Detection in Indoor Scenes

25 Feb 2017Georgios GeorgakisArsalan MousavianAlexander C. BergJana Kosecka

Detection of objects in cluttered indoor environments is one of the key enabling functionalities for service robots. The best performing object detection approaches in computer vision exploit deep Convolutional Neural Networks (CNN) to simultaneously detect and categorize the objects of interest in cluttered scenes... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.