Self-Critical Sequence Training for Image Captioning

@article{Rennie2017SelfCriticalST,
  title={Self-Critical Sequence Training for Image Captioning},
  author={Steven J. Rennie and Etienne Marcheret and Youssef Mroueh and Jarret Ross and Vaibhava Goel},
  journal={2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2017},
  pages={1179-1195}
}
Recently it has been shown that policy-gradient methods for reinforcement learning can be utilized to train deep end-to-end systems directly on non-differentiable metrics for the task at hand. In this paper we consider the problem of optimizing image captioning systems using reinforcement learning, and show that by carefully optimizing our systems using the test metrics of the MSCOCO task, significant gains in performance can be realized. Our systems are built using a new optimization approach… CONTINUE READING
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