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Despite the rapid progress of the techniques for image classification, video annotation has remained a challenging task.
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2009
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M. Wang, X.-S. Hua, J. Tang, and R. Hong, “Beyond distance measurement: constructing neighborhood similarity for video annotation,”
2009
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C. Vondrick, D. Ramanan, and D. Patterson, “Efficiently scaling up video annotation with crowdsourced marketplaces,”
2010
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2011
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2012
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Z.-J. Zha, M. Wang, Y.-T. Zheng, Y. Yang, R. Hong, and T.-S. Chua, “Interactive video indexing with statistical active learning,”
2012
Cited alongside, same era.
M. Wang, B. Ni, X.-S. Hua, and T.-S. Chua, “Assistive tagging: A survey of multimedia tagging with human-computer joint exploration,”
2012
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T. Zhang, C. Xu, G. Zhu, S. Liu, and H. Lu, “A generic framework for video annotation via semi-supervised learning,”
2012
Cited alongside, same era.
K. Simonyan and A. Zisserman, “Very deep convolutional networks for large-scale image recognition,”
2014
Cited alongside, same era.
R. Girshick, J. Donahue, T. Darrell, and J. Malik, “Rich feature hierarchies for accurate object detection and semantic segmentation,” in
2014
Cited alongside, same era.
N. Papernot, P. McDaniel, S. Jha, M. Fredrikson, Z. B. Celik, and A. Swami, “The limitations of deep learning in adversarial settings,” in
2016
Later among the works it cites.
2016
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N. Carlini, P. Mishra, T. Vaidya, Y. Zhang, M. Sherr, C. Shields, D. Wagner, and W. Zhou, “Hidden voice commands,” in
2016
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M. Sharif, S. Bhagavatula, L. Bauer, and M. K. Reiter, “Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition,” in
2016
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K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in
2016
Cited alongside, same era.
2017
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