Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2017-09-21 000000m 15:53:53 - Overview

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Name (Institute + Shorttitle)DAVIS: Densely Annotated VIdeo Segmentation 
Description (include details on usage, files and paper references)We present the 2017 DAVIS Challenge, a public competition specifically designed for the task of video object segmentation. Following the footsteps of other successful initiatives, such as ILSVRC and PASCAL VOC, which established the avenue of research in the fields of scene classification and semantic segmentation, the DAVIS Challenge comprises a dataset, an evaluation methodology, and a public competition with a dedicated workshop co-located with CVPR 2017.


The DAVIS Challenge follows up on the recent publication of DAVIS (Densely-Annotated VIdeo Segmentation), which has fostered the development of several novel state-of-the-art video object segmentation techniques. In this paper we describe the scope of the benchmark, highlight the main characteristics of the dataset and define the evaluation metrics of the competition.

References:
https://arxiv.org/abs/1704.00675
http://davischallenge.org/challenge2017/index.html

 
URL Linkhttp://davischallenge.org/ 
Files (#)10459 
References (SKIPPED)
Category (SKIPPED)video segmentation 
Tags (single words, spaced)object tracking segmentation video benchmark code hd quality resolution 
Last Changed2017-09-21 
Turing (2.12+3.25=?) :-)