cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
Hirokatsu Kataoka, Yudai Miyashita, Tomoaki Yamabe, Soma, Shirakabe, Shin'ichi Sato, Hironori Hoshino, Ryo Kato, Kaori Abe, and Takaaki Imanari, Naomichi Kobayashi, Shinichiro Morita, Akio, Nakamura
TL;DR
This paper reviews 602 CVPR2015 conference papers to identify trends in computer vision and introduces DeepSurvey, a systematic process for reading, idea generation, and paper writing.
Contribution
It provides a comprehensive analysis of CVPR2015 papers and proposes DeepSurvey as a novel method for structured research and writing in computer vision.
Findings
Identified key trends in CVPR2015 papers
Proposed DeepSurvey for systematic research workflow
Facilitated idea generation and paper writing process
Abstract
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.
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Taxonomy
TopicsAdvanced Image and Video Retrieval Techniques · Image Retrieval and Classification Techniques · Advanced Neural Network Applications