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Since the advent of online real estate database companies like Zillow, Trulia and Redfin, the problem of automatic estimation of market values for houses has received considerable attention.
The theory of fuzz logic and its application to real estate valuation
C. Bagnoli and H. Smith · 1998
Earlier work this paper cites.
Neural networks: the prediction of residential values
S. McGreal, A. Adair, D. McBurney, and D. Patterson · 1998
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Modeling the shape of the scene: A holistic representation of the spatial envelope
A. Oliva and A. Torralba · 2001
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Hedonic pricing models: a selective and applied review
S. Malpezzi et al · 2003
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Real estate appraisal: a review of valuation methods
E. Pagourtzi, V. Assimakopoulos, T. Hatzichristos, and N. French · 2003
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Mass appraisal: An introduction to multiple regression analysis for real estate valuation
J. Benjamin, R. Guttery, and C. Sirmans · 2004
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Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
S. Lazebnik, C. Schmid, and J. Ponce · 2006
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Large scale online learning of image similarity through ranking
G. Chechik, V. Sharma, U. Shalit, and S. Bengio · 2010
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Stochastic triplet embedding
L. Van Der Maaten and K. Weinberger · 2012
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S. Karayev, M. Trentacoste, H. Han, A. Agarwala, T. Darrell, A. Hertzmann, and H. Winnemoeller · 2013
Earlier work this paper cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Furniture-geek: Understanding fine-grained furniture attributes from freely associated text and tags
V. Ordonez, V. Jagadeesh, W. Di, A. Bhardwaj, and R. Piramuthu · 2014
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Cost-effective hits for relative similarity comparisons
M. J. Wilber, I. S. Kwak, and S. J. Belongie · 2014
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Learning deep features for scene recognition using places database
B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, and A. Oliva · 2014
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Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 2015
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Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop
F. Yu, A. Seff, Y. Zhang, S. Song, T. Funkhouser, and J. Xiao · 2015
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L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Densely connected convolutional networks
G. Huang, Z. Liu, K. Q. Weinberger, and L. van der Maaten · 2016
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S. Bell and K. Bala · 2015
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Fast r-cnn
R. Girshick · 2015
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Deep learning
Y. LeCun, Y. Bengio, and G. Hinton · 2015
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
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R. K. Srivastava, K. Greff, and J. Schmidhuber · 2015
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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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Stacked generative adversarial networks
X. Huang, Y. Li, O. Poursaeed, J. E. Hopcroft, and S. J. Belongie · 2017
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Progressive growing of gans for improved quality, stability, and variation
T. Karras, T. Aila, S. Laine, and J. Lehtinen · 2017
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Generative adversarial perturbations
O. Poursaeed, I. Katsman, B. Gao, and S. Belongie · 2017
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Pyramid scene parsing network
H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 2017
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