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code for "S2TD: A Tree-Structured Decoder for Image Paragraph Captioning" accepted by MMAsia 2021

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S2TD

code for "S2TD: A Tree-Structured Decoder for Image Paragraph Captioning" accepted by MMAsia 2021

Overview

image

Notes

The code is based on soloist97/region-hierarchical-pytorch. For convenient, we recommend you to read its README.md first and follow the instructions to setup the environment.

  • The code uses the same image features & preprocessed paragraph input files.
  • The code shares almost the same training & evaluating commends. (If you want to generate sentence trees during evaluating, please add --tree.)
  • Extra package requirements:
  • Download pre-parsed tree files here.

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code for "S2TD: A Tree-Structured Decoder for Image Paragraph Captioning" accepted by MMAsia 2021

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