Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification

ACM Multimedia 2001, pp. 177-186, 2014.

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Abstract:

Supervised learning using deep convolutional neural network has shown its promise in large-scale image classification task. As a building block, it is now well positioned to be part of a larger system that tackles real-life multimedia tasks. An unresolved issue is that such model is trained on a static snapshot of data. Instead, this pape...More

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