Paper Reading - Convolutional Image Captioning ( CVPR 2018 )

Innovations:

The authors develop a convolutional ( CNN-based ) image captioning method that shows comparable performance to an LSTM based method on standard metrics.
The authors analyze the characteristics of CNN and LSTM nets and provide useful insights such as -- CNNs produce more entropy ( useful for diverse predictions ), better classification accuracy, and do not suffer from vanishing gradients.

Improvements:

A Convolutional Neural Network with Attention mechanism.

General Points:

Image Captioning is applicable to virtual assistants, editing tools, image indexing and support of the disabled.
Image Captioning is a basic ingredient for more complex operations such as storytelling and visual summarization.

原文地址：https://www.cnblogs.com/zlian2016/p/9520893.html

时间： 2024-10-25 22:59:48

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