cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
This provides a comprehensive review for researchers in computer vision, but it is incremental as it focuses on summarizing existing work rather than introducing new methods.
The authors tackled the challenge of summarizing all 602 papers from CVPR2015 to identify trends in computer vision, and proposed DeepSurvey as a systematic process for reading, generating ideas, and writing papers.
The "cvpaper.challenge" is a group composed of members from AIST, Tokyo Denki Univ. (TDU), and Univ. of Tsukuba that aims to systematically summarize papers on computer vision, pattern recognition, and related fields. For this particular review, we focused on reading the ALL 602 conference papers presented at the CVPR2015, the premier annual computer vision event held in June 2015, in order to grasp the trends in the field. Further, we are proposing "DeepSurvey" as a mechanism embodying the entire process from the reading through all the papers, the generation of ideas, and to the writing of paper.