DocumentCode
3458089
Title
The benefits and challenges of collecting richer object annotations
Author
Endres, Ian ; Farhadi, Ali ; Hoiem, Derek ; Forsyth, David A.
Author_Institution
Dept. of Comput. Sci., Univ. of Illinois Urbana Champaign, Champaign, IL, USA
fYear
2010
fDate
13-18 June 2010
Firstpage
1
Lastpage
8
Abstract
Several recent works have explored the benefits of providing more detailed annotations for object recognition. These annotations provide information beyond object names, and allow a detector to reason and describe individual instances in plain English. However, by demanding more specific details from annotators, new difficulties arise, such as stronger language dependencies and limited annotator attention. In this work, we present the challenges of constructing such a detailed dataset, and discuss why the benefits of using this data outweigh the difficulties of collecting it.
Keywords
object recognition; annotator attention; language dependencies; object annotations; object recognition; Computer science; Costs; Detectors; Face recognition; Humans; Natural languages; Object detection; Object recognition; Robots; Yarn;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on
Conference_Location
San Francisco, CA
ISSN
2160-7508
Print_ISBN
978-1-4244-7029-7
Type
conf
DOI
10.1109/CVPRW.2010.5543183
Filename
5543183
Link To Document