On Deep Representation Learning from Noisy Web Images

15 Dec 2015Phong D. VoAlexandru GinscaHervé Le BorgneAdrian Popescu

The keep-growing content of Web images may be the next important data source to scale up deep neural networks, which recently obtained a great success in the ImageNet classification challenge and related tasks. This prospect, however, has not been validated on convolutional networks (convnet) -- one of best performing deep models -- because of their supervised regime... (read more)

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