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Automatically scene understanding using machine learning algorithms has been widely applied to different industries to reduce the cost of manual labor.
A general framework for object detection
C. P. Papageorgiou, M. Oren, and T. Poggio · 1998
Earlier work this paper cites.
Object recognition from local scale-invariant features
D. G. Lowe · 1999
Earlier work this paper cites.
Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
Earlier work this paper cites.
Image based automatic vehicle damage detection
S. Jayawardena et al · 2013
Earlier work this paper cites.
Scalable object detection using deep neural networks
D. Erhan, C. Szegedy, A. Toshev, and D. Anguelov · 2014
Earlier work this paper cites.
Algorithm development for minor damage identification in vehicle bodies using adaptive sensor data processing
S. Gontscharov, H. Baumgärtel, A. Kneifel, and K.-L. Krieger · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Cited alongside, same era.
Fast r-cnn
R. Girshick · 2015
Cited alongside, same era.
Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
Cited alongside, same era.
Region-based convolutional networks for accurate object detection and segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2016
Cited alongside, same era.
Multi-camera vision system inspects cars for dents caused by hail
Cited in the paper.
Ssd: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
Later among the works it cites.
You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
Later among the works it cites.
Output-only computer vision based damage detection using phase-based optical flow and unscented kalman filters
Y.-J. Cha, J. Chen, and O. Büyüköztürk · 2017
Later among the works it cites.
Deep learning-based crack damage detection using convolutional neural networks
Y.-J. Cha, W. Choi, and O. Büyüköztürk · 2017
Later among the works it cites.
Crack detection using image processing: A critical review and analysis
A. Mohan and S. Poobal · 2017
Later among the works it cites.
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