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Found 3 papers, 1 papers with code
ACORT: A Compact Object Relation Transformer for Parameter Efficient Image Captioning
Recent research that applies Transformer-based architectures to image captioning has resulted in state-of-the-art image captioning performance, capitalising on the success of Transformers on natural language tasks.
Phrase-based Image Captioning with Hierarchical LSTM Model
Automatic generation of caption to describe the content of an image has been gaining a lot of research interests recently, where most of the existing works treat the image caption as pure sequential data.
phi-LSTM: A Phrase-based Hierarchical LSTM Model for Image Captioning
The two levels of this model are dedicated to i) learn to generate image relevant noun phrases, and ii) produce appropriate image description from the phrases and other words in the corpus.
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