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Recognizing materials in real-world images is a challenging task.
Backpropagation applied to handwritten zip code recognition
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T. Leung and J. Malik · 2001
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E. Hayman, B. Caputo, M. Fritz, and J. olof Eklundh · 2004
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B. Caputo, E. Hayman, and P. Mallikarjuna · 2005
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A statistical approach to texture classification from single images
M. Varma and A. Zisserman · 2005
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LabelMe: A database and web-based tool for image annotation
B. C. Russell, A. Torralba, K. P. Murphy, and W. T. Freeman · 2008
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Decomposing a scene into geometric and semantically consistent regions
S. Gould, R. Fulton, and D. Koller · 2009
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Material perception: What can you see in a brief glance?
L. Sharan, R. Rosenholtz, and E. Adelson · 2009
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The Pascal Visual Object Classes (VOC) Challenge
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2010
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Exploring features in a bayesian framework for material recognition
C. Liu, L. Sharan, E. H. Adelson, and R. Rosenholtz · 2010
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Toward robust material recognition for everyday objects
D. Hu, L. Bo, and X. Ren · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Recognizing materials from virtual examples
W. Li and M. Fritz · 2012
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Pairwise rotation invariant co-occurrence local binary pattern
X. Qi, R. Xiao, J. Guo, and L. Zhang · 2012
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A training-free classification framework for textures, writers, and materials
R. Timofte and L. J. Van Gool · 2012
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OpenSurfaces: A richly annotated catalog of surface appearance
S. Bell, P. Upchurch, N. Snavely, and K. Bala · 2013
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Learning hierarchical features for scene labeling
C. Farabet, C. Couprie, L. Najman, and Y. LeCun · 2013
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
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Learning and transferring mid-level image representations using convolutional neural networks
M. Oquab, L. Bottou, I. Laptev, and J. Sivic · 2014
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The SUN Attribute Database: Beyond Categories for Deeper Scene Understanding
G. Patterson, C. Xu, H. Su, and J. Hays · 2014
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ImageNet Large Scale Visual Recognition Challenge, 2014
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2014
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Overfeat: Integrated recognition, localization and detection using convolutional networks
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun · 2014
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Very deep convolutional networks for large-scale image recognition
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Recognizing materials using perceptually inspired features
L. Sharan, C. Liu, R. Rosenholtz, and E. Adelson · 2013
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Describing textures in the wild
M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed, and A. Vedaldi · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
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Learning deep features for scene recognition using Places database
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Going deeper with convolutions
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