TY - GEN
T1 - The benefits and challenges of collecting richer object annotations
AU - Endres, Ian
AU - Farhadi, Ali
AU - Hoiem, Derek
AU - Forsyth, David A.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77956508699&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77956508699&partnerID=8YFLogxK
U2 - 10.1109/CVPRW.2010.5543183
DO - 10.1109/CVPRW.2010.5543183
M3 - Conference contribution
AN - SCOPUS:77956508699
SN - 9781424470297
T3 - 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010
SP - 1
EP - 8
BT - 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010
T2 - 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010
Y2 - 13 June 2010 through 18 June 2010
ER -