TY - GEN
T1 - Detecting and Grouping Identical Objects for Region Proposal and Classification
AU - Abbeloos, Wim
AU - Caccamo, Sergio
AU - Ataer-Cansizoglu, Esra
AU - Taguchi, Yuichi
AU - Feng, Chen
AU - Lee, Teng Yok
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/22
Y1 - 2017/8/22
N2 - Often multiple instances of an object occur in the same scene, for example in a warehouse. Unsupervised multi-instance object discovery algorithms are able to detect and identify such objects. We use such an algorithm to provide object proposals to a convolutional neural network (CNN) based classifier. This results in fewer regions to evaluate, compared to traditional region proposal algorithms. Additionally, it enables using the joint probability of multiple instances of an object, resulting in improved classification accuracy. The proposed technique can also split a single class into multiple sub-classes corresponding to the different object types, enabling hierarchical classification.
AB - Often multiple instances of an object occur in the same scene, for example in a warehouse. Unsupervised multi-instance object discovery algorithms are able to detect and identify such objects. We use such an algorithm to provide object proposals to a convolutional neural network (CNN) based classifier. This results in fewer regions to evaluate, compared to traditional region proposal algorithms. Additionally, it enables using the joint probability of multiple instances of an object, resulting in improved classification accuracy. The proposed technique can also split a single class into multiple sub-classes corresponding to the different object types, enabling hierarchical classification.
UR - http://www.scopus.com/inward/record.url?scp=85030248255&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85030248255&partnerID=8YFLogxK
U2 - 10.1109/CVPRW.2017.76
DO - 10.1109/CVPRW.2017.76
M3 - Conference contribution
AN - SCOPUS:85030248255
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
SP - 501
EP - 502
BT - Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017
PB - IEEE Computer Society
T2 - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017
Y2 - 21 July 2017 through 26 July 2017
ER -