Learning to detect and match keypoints with deep architectures

British Machine Vision Conference 2016, BMVC 2016

Volumn 2016-September, Issue , 2016, Pages 49.1-49.12

  Altwaijry, Hani ^a,b   Veit, Andreas ^a,b   Belongie, Serge ^a,b  

^a Department of Obstetrics Gynecology   (United States)

^b Cornell Tech ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEEP ARCHITECTURES; FEATURE DETECTION; KEYPOINTS; LARGE-SCALE DATASET; LEARNING-BASED APPROACH; MULTI-SCALE; SUPPORT REGIONS;

COMPUTER VISION;

EID: 85029570955     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.30.49     Document Type: Conference Paper

References (30)

1. Hani Altwaijry, Eduard Trulls, James Hays, Pascal Fua, and Serge Belongie. Learning to Match Aerial Images with Deep Attentive Architectures. In CVPR, 2016.
2. Jimmy Ba, Volodymyr Mnih, and Koray Kavukcuoglu. Multiple object recognition with visual attention. In ICLR, 2015.
3. Boris Babenko, Piotr Doll r, and Serge Belongie. Task specific local region matching. In ICCV, 2007.
4. Herbert Bay, Tinne Tuytelaars, and Luc Van Gool. SURF: Speeded up robust features. In ECCV 2006.
5. J. Bromley, I. Guyon, Y. Lecun, E. Sckinger, and R. Shah. Signature verification using a “siamese” time delay neural network. In NIPS, 1994.
6. Matthew Brown, Gang Hua, and Simon Winder. Discriminative learning of local image descriptors. PAMI, 2011.
7. Michael Calonder, Vincent Lepetit, Mustafa Ozuysal, Tomasz Trzcinski, Christoph Strecha, and Pascal Fua. BRIEF: Computing a local binary descriptor very fast. PAMI, 2012.
8. K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman. Return of the devil in the details: Delving deep into convolutional nets. In British Machine Vision Conference, 2014.
9. Navneet Dalal and Bill Triggs. Histograms of oriented gradients for human detection. In CVPR 2005.
10. Martin A. Fischler and Robert C. Bolles. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications of ACM, 1981.
11. Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, 2014.
12. Xufeng Han, Thomas Leung, Yangqing Jia, Rahul Sukthankar, and Alexander C Berg. MatchNet: Unifying feature and metric learning for patch-based matching. In CVPR, 2015.
13. W. Hartmann, M. Havlena, and K. Schindler. Predicting matchability. In CVPR, 2014.
14. Max Jaderberg, Karen Simonyan, Andrew Zisserman, and Koray Kavukcuoglu. Spatial transformer networks. In NIPS, 2015.
15. Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. ImageNet classification with deep convolutional neural networks. In NIPS. 2012.
16. Stefan Leutenegger, Margarita Chli, and Roland Y Siegwart. Brisk: Binary robust invariant scalable keypoints. In ICCV, 2011.
17. Jonathan L Long, Ning Zhang, and Trevor Darrell. Do convnets learn correspondence? In NIPS, 2014.
18. David G. Lowe. Object recognition from local scale-invariant features. ICCV 1999.
19. Krystian Mikolajczyk, Tinne Tuytelaars, Cordelia Schmid, Andrew Zisserman, Jiri Matas, Frederik Schaffalitzky, Timor Kadir, and Luc Van Gool. A comparison of affine region detectors. IJCV, 2005.
20. Volodymyr Mnih, Nicolas Heess, Alex Graves, et al. Recurrent models of visual attention. In NIPS, 2014.
21. Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. Faster R-CNN: Towards real-time object detection with region proposal networks. In NIPS, 2015.
22. Florian Schroff, Dmitry Kalenichenko, and James Philbin. Facenet: A unified embedding for face recognition and clustering. In CVPR, 2015.
23. Edgar Simo-Serra, Eduard Trulls, Luis Ferraz, Iasonas Kokkinos, Pascal Fua, and Francesc Moreno-Noguer. Discriminative learning of deep convolutional feature point descriptors. In ICCV, 2015.
24. Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman. Learning local feature descriptors using convex optimisation. PAMI, 2014.
25. Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich. Going deeper with convolutions. In CVPR, 2015.
26. Yaniv Taigman, Ming Yang, Marc'Aurelio Ranzato, and Lior Wolf. Deepface: Closing the gap to human-level performance in face verification. In CVPR, 2014.
27. Yannick Verdie, Kwang Moo Yi, Pascal Fua, and Vincent Lepetit. TILDE: A temporally invariant learned DEtector. In CVPR, 2015.
28. Changchang Wu. Towards linear-time incremental structure from motion. In 3DV, 2013.
29. Changchang Wu, Sameer Agarwal, Brian Curless, and Steven M Seitz. Multicore bundle adjustment. In CVPR, 2011.
30. Sergey Zagoruyko and Nikos Komodakis. Learning to compare image patches via convolutional neural networks. CVPR, 2015.