Towards Diverse and Natural Image Descriptions via a Conditional GAN

ICCV 2017 Bo DaiSanja FidlerRaquel UrtasunDahua Lin

Despite the substantial progress in recent years, the image captioning techniques are still far from being perfect.Sentences produced by existing methods, e.g. those based on RNNs, are often overly rigid and lacking in variability. This issue is related to a learning principle widely used in practice, that is, to maximize the likelihood of training samples... (read more)

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