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While recent deep neural networks have achieved a promising performance on object recognition, they rely implicitly on the visual contents of the whole image.
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The Caltech-UCSD Birds-200-2011 Dataset
C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie · 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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Context as supervisory signal: Discovering objects with predictable context
Carl Doersch, Abhinav Gupta, and Alexei A. Efros · 2014
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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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Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan and A. Zisserman · 2014
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Visualizing and Understanding Convolutional Networks
M.D. Zeiler and R. Fergus · 2014
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ImageNet Large Scale Visual Recognition Challenge
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 · 2015
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J. Wang, Z. Zhang, V. Premachandran, and A. Yuille · 2015
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Object Detectors Emerge in Deep Scene CNNs
Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba · 2015
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Edge Boxes: Locating Object Proposals from Edges
C.L. Zitnick and P. Dollar · 2014
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Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks
C. Cao, X. Liu, Y. Yang, Y. Yu, J. Wang, Z. Wang, Y. Huang, L. Wang, C. Huang, and W. Xu · 2015
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Background prior-based salient object detection via deep reconstruction residual
Junwei Han, Dingwen Zhang, Xintao Hu, Lei Guo, Jinchang Ren, and Feng Wu · 2015
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
S. Ioffe and C. Szegedy · 2015
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Bilinear cnn models for fine-grained visual recognition
Tsung-Yu Lin, Aruni RoyChowdhury, and Subhransu Maji · 2015
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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 · 2015
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Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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What Makes ImageNet Good for Transfer Learning?
M. Huh, P. Agrawal, and A.A. Efros · 2016
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Fully convolutional networks for semantic segmentation
Evan Shelhamer, Jonathon Long, and Trevor Darrell · 2016
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Deep learning representation using autoencoder for 3d shape retrieval
Z. Zhu, X. Wang, S. Bai, C. Yao, and X. Bai · 2016
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Background appearance modeling with applications to visual object detection in an open-pit mine
Alex Bewley and Ben Upcroft · 2017
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Towards reversal-invariant image representation
L. Xie, J. Wang, W. Lin, B. Zhang, and Q. Tian · 2017
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