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Recent advances in convolutional neural networks (CNN) have achieved remarkable results in locating objects in images.
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An approach to word image matching based on weighted Hausdorff distance
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Mean shift: A robust approach toward feature space analysis
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Spatially eigen-weighted Hausdorff distances for human face recognition
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A review of maize hybrids’ dependence on high plant populations and its implications for crop yield stability
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Scikit-learn: Machine learning in Python
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High-biomass sorghum yield estimate with aerial imagery
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Using the averaged Hausdorff distance as a performance measure in evolutionary multiobjective optimization
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Crowdsourcing annotations for visual object detection
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Gazing at Games: An Introduction to Eye Tracking Control
V. Sundstedt · 2012
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Robust real-time pupil tracking in highly off-axis images
L. Świrski, A. Bulling, and N. Dodgson · 2012
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Representation learning: A unified deep learning framework for automatic prostate mr segmentation
S. Liao, Y. Gao, A. Oto, and D. Shen · 2013
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Crowd counting and profiling: Methodology and evaluation
C. C. Loy, K. Chen, S. Gong, and T. Xiang · 2013
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Selective search for object recognition
J. R. R. Uijlings, , K. E. A. Van De Sande, T. Gevers, and A. W. M. Smeulders · 2013
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Field high-throughput phenotyping: the new crop breeding frontier
J. L. Araus and J. E. Cairns · 2014
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SSD: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C. Fu, and A. C. Berg · 2016
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We don’t need no bounding-boxes: Training object class detectors using only human verification
D. P. Papadopoulos, J. R. R. Uijlings, F. Keller, and V. Ferrari · 2016
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You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
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Deep learning convolutional networks for multiphoton microscopy vasculature segmentation
P. Teikari, M. Santos, C. Poon, and K. Hynynen · 2016
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Single-image crowd counting via multi-column convolutional neural network
Y. Zhang, D. Zhou, S. Chen, S. Gao, and Y. Ma · 2016
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Material recognition in the wild with the materials in context database (supplemental material)
S. Bell, P. Upchurch, N. Snavely, and K. Bala · 2015
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ExCuSe: Robust pupil detection in real-world scenarios
W. Fuhl, T. Kübler, K. Sippel, W. Rosenstiel, and E. Kasneci · 2015
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Fast R-CNN
R. Girshick · 2015
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
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Deep learning
Y. LeCun, Y. Bengio, and G. Hinton · 2015
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Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C 4 cereal crop plant to nitrogen and water deficiency over time
E. H. Neilson, A. M. Edwards, C. K. Blomstedt, B. Berger, B. L. Møller, and R. M. Gleadow · 2015
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H. Fan, H. Su, and L. Guibas · 2017
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Dynamic facial analysis: From bayesian filtering to recurrent neural network
J. Gu, X. Yang, S. De Mello, and J. Kautz · 2017
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K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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Speed/accuracy trade-offs for modern convolutional object detectors
J. Huang, V. Rathod, C. Sun, M. Zhu, A. Korattikara, A. Fathi, I. Fischer, Z. Wojna, Y. Song, S. Guadarrama, and K. Murphy · 2017
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Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
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Age invariant face recognition using convolutional neural networks and set distances
H. E. Khiyari and H. Wechsler · 2017
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Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2017
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Switching convolutional neural network for crowd counting
D. B. Sam, S. Surya, and R. V. Babu · 2017
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A hybrid parameter estimation algorithm for beta mixtures and applications to methylation state classification
C. Schröder · 2017
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Learning from simulated and unsupervised images through adversarial training
A. Shrivastava, T. Pfister, O. Tuzel, J. Susskind, W. Wang, and R. Webb · 2017
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Spatiotemporal modeling for crowd counting in videos
F. Xiong, X. Shi, and D. Yeung · 2017
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Deep Learning for Medical Image Analysis
S. K. Zhou, H. Greenspan, and D. Shen · 2017
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Deepwheat: Estimating phenotypic traits from crop images with deep learning
S. Aich, I. Ahmed, I. Obsyannikov, I. Stavness, A. Josuttes, K. Strueby, H. Duddu, C. Pozniak, and S. Shirtliffe · 2018
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Body structure aware deep crowd counting
S. Huang, X. Li, Z. Zhang, F. Wu, S. Gao, R. Ji, and J. Han · 2018
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CSRNet: Dilated convolutional neural networks for understanding the highly congested scenes
Y. Li, X. Zhang, and D. Chen · 2018
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On the convergence of adam and beyond
S. J. Reddi, S. Kale, and S. Kumar · 2018
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