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Over recent years, emerging interest has occurred in integrating computer vision technology into the retail industry.
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P. Krähenbühl and V. Koltun · 2011
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The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results
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ImageNet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Auto-encoding variational bayes
D. P. Kingma and M. Welling · 2013
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M. George and C. Floerkemeier · 2014
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Generative adversarial nets
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Microsoft COCO: Common objects in context
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Unsupervised domain adaptation by backpropagation
Y. Ganin and V. Lempitsky · 2015
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InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets
X. Chen, Y. Duan, R. Houthooft, J. Schulman, I. Sutskever, and P. Abbeel · 2016
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The cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
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Deep residual learning for image recognition
YOLO9000: Better, faster, stronger
J. Redmon and A. Farhadi · 2017
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Domain randomization for transferring deep neural networks from simulation to the real world
J. Tobin, R. Fong, A. Ray, J. Schneider, W. Zaremba, and P. Abbeel · 2017
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J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Improving object counting with heatmap regulation
S. Aich and I. Stavness · 2018
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MVTec D2S: Densely segmented supermarket dataset
P. Follmann, T. Bottger, P. Hartinger, R. Konig, and M. Ulrich · 2018
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Squeeze-and-excitation networks
J. Hu, L. Shen, S. Albanie, G. Sun, and E. Wu · 2018
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K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Detecting salient objects via color and texture compactness hypotheses
P. Hu, W. Wang, C. Zhang, and K. Lu · 2016
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The freiburg groceries dataset
P. Jund, N. Abdo, A. Eitel, and W. Burgard · 2016
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Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie · 2017
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Least squares generative adversarial networks
X. Mao, Q. Li, H. Xie, R. Y. Lau, Z. Wang, and S. P. Smolley · 2017
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A generative model for zero shot learning using conditional variational autoencoders
A. Mishra, M. S. K. Reddy, A. Mittal, and H. A. Murthy · 2017
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AugGAN: Cross domain adaptation with GAN-based data augmentation
S.-W. Huang, C.-T. Lin, S.-P. Chen, Y.-Y. Wu, P.-H. Hsu, and S.-H. Lai · 2018
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Zero-shot recognition via semantic embeddings and knowledge graphs
X. Wang, Y. Ye, and A. Gupta · 2018
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Dualgan: Unsupervised dual learning for image-to-image translation
Z. Yi, H. Zhang, P. Tan, and M. Gong · 2018
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Viewpoint-aware attentive multi-view inference for vehicle re-identification
Y. Zhou and L. Shao · 2018
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