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Found 3 papers, 2 papers with code
Switching to Discriminative Image Captioning by Relieving a Bottleneck of Reinforcement Learning
Discriminativeness is a desirable feature of image captions: captions should describe the characteristic details of input images.
Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning
Unsupervised image captioning is a challenging task that aims at generating captions without the supervision of image-sentence pairs, but only with images and sentences drawn from different sources and object labels detected from the images.
Pruning Basic Elements for Better Automatic Evaluation of Summaries
We propose a simple but highly effective automatic evaluation measure of summarization, pruned Basic Elements (pBE).
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