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We present an approach to utilize large amounts of web data for learning CNNs.
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Harvesting image databases from the web
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Going deeper with convolutions
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Weakly supervised object localization with latent category learning
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Well begun is half done: Generating high-quality seeds for automatic image dataset construction from web
Y. Xia, X. Cao, F. Wen, and J. Sun · 2014
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Learning deep features for scene recognition using places database
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Edge boxes: Locating object proposals from edges
C. L. Zitnick and P. Dollár · 2014
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Sense discovery via co-clustering on images and text
X. Chen, A. Ritter, A. Gupta, and T. Mitchell · 2015
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Weakly-and semi-supervised learning of a dcnn for semantic image segmentation
G. Papandreou, L.-C. Chen, K. Murphy, and A. L. Yuille · 2015
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