Hidden State Guidance: Improving Image Captioning Using an Image Conditioned Autoencoder

Jialin Wu
Jialin Wu

ViGIL@NeurIPS, 2019.

Cited by: 0|Bibtex|Views22
Other Links: academic.microsoft.com|arxiv.org

Abstract:

Most RNN-based image captioning models receive supervision on the output words to mimic human captions. Therefore, the hidden states can only receive noisy gradient signals via layers of back-propagation through time, leading to less accurate generated captions. Consequently, we propose a novel framework, Hidden State Guidance (HSG), th...More

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