A Dual-Network Progressive Approach to Weakly Supervised Object Detection-Reference-Cited by-同舟云学术

A Dual-Network Progressive Approach to Weakly Supervised Object Detection

Published:2017-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 25th ACM international conference on Multimedia
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Author:

Dong Xuanyi¹,Meng Deyu²,Ma Fan²,Yang Yi¹

Affiliation:

1. University of Technology Sydney, Sydney, Australia

2. Xi'an Jiaotong University, Xi'an, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3123266.3123455

Reference52 articles.

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2. Loris Bazzani Alessandra Bergamo Dragomir Anguelov and Lorenzo Torresani. 2016. Self-taught object localization with deep networks WACV. Loris Bazzani Alessandra Bergamo Dragomir Anguelov and Lorenzo Torresani. 2016. Self-taught object localization with deep networks WACV.

3. Yoshua Bengio Jérôme Louradour Ronan Collobert and Jason Weston. 2009. Curriculum learning ICML. 10.1145/1553374.1553380 Yoshua Bengio Jérôme Louradour Ronan Collobert and Jason Weston. 2009. Curriculum learning ICML. 10.1145/1553374.1553380

4. Hakan Bilen Marco Pedersoli and Tinne Tuytelaars. 2014. Weakly supervised object detection with posterior regularization BMVC. Hakan Bilen Marco Pedersoli and Tinne Tuytelaars. 2014. Weakly supervised object detection with posterior regularization BMVC.

5. Hakan Bilen Marco Pedersoli and Tinne Tuytelaars. 2015. Weakly supervised object detection with convex clustering CVPR. Hakan Bilen Marco Pedersoli and Tinne Tuytelaars. 2015. Weakly supervised object detection with convex clustering CVPR.

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