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Found 5 papers, 2 papers with code
Run Like a Girl! Sports-Related Gender Bias in Language and Vision
A computational model trained on these naming data reproduces the bias.
Cross-Domain Image Captioning with Discriminative Finetuning
However, when the model is used without further tuning to generate captions for out-of-domain datasets, our discriminatively-finetuned captioner generates descriptions that resemble human references more than those produced by the same captioner without finetuning.
Communication breakdown: On the low mutual intelligibility between human and neural captioning
We compare the 0-shot performance of a neural caption-based image retriever when given as input either human-produced captions or captions generated by a neural captioner.
Be Different to Be Better! A Benchmark to Leverage the Complementarity of Language and Vision
This paper introduces BD2BB, a novel language and vision benchmark that requires multimodal models combine complementary information from the two modalities.
