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Found 4 papers, 3 papers with code
Embedded Heterogeneous Attention Transformer for Cross-lingual Image Captioning
The crucial issue in this task is to model the global and the local matching between the image and different languages.
Compact Bidirectional Transformer for Image Captioning
In this paper, we introduce a Compact Bidirectional Transformer model for image captioning that can leverage bidirectional context implicitly and explicitly while the decoder can be executed parallelly.
Semi-Autoregressive Transformer for Image Captioning
To tackle this issue, non-autoregressive image captioning models have recently been proposed to significantly accelerate the speed of inference by generating all words in parallel.
More Grounded Image Captioning by Distilling Image-Text Matching Model
To improve the grounding accuracy while retaining the captioning quality, it is expensive to collect the word-region alignment as strong supervision.
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