Discovering object aspects from video
作者：
Highlights：
• We define aspects as 4 factors of variation: viewpoint, pose, occlusions, and cropping.
• We explore weakly supervised aspect discovery from video.
• We introduce a new video dataset containing over 10,000 annotated frames.
• We propose a novel framework for direct aspect discovery evaluation.
• Using video consistently leads to better aspect discovery compared to still images.
摘要
•We define aspects as 4 factors of variation: viewpoint, pose, occlusions, and cropping.•We explore weakly supervised aspect discovery from video.•We introduce a new video dataset containing over 10,000 annotated frames.•We propose a novel framework for direct aspect discovery evaluation.•Using video consistently leads to better aspect discovery compared to still images.
论文关键词：Visual aspects,Object aspect discovery
论文评审过程：Received 13 September 2015, Revised 19 March 2016, Accepted 21 April 2016, Available online 4 May 2016, Version of Record 13 July 2016.
论文官网地址：https://doi.org/10.1016/j.imavis.2016.04.014
