Nov 24, 2021 · This paper addresses the task of generating fluent descriptions by training on a non-uniform combination of data sources, containing both human-annotated and ...

Dec 5, 2023 · In this work we focus on generating captions that can be richer in terms of semantics and include proper names and long-tail concepts (Fig. 1), ...

This paper addresses the task of generating fluent descriptions by training on a non-uniform combination of data sources, containing both human-annotated ...

May 8, 2024 · This paper addresses the task of generating fluent descriptions by training on a non-uniform combination of data sources, containing both ...

Generating More Pertinent Captions by Leveraging Semantics and Style on Multi-Source Datasets ... StyleNet: Generating attractive visual captions with styles.

Generating More Pertinent Captions by Leveraging Semantics and Style on Multi-Source Datasets. Citation: Cornia, Marcella; Baraldi, Lorenzo; Fiameni ...

2023. Generating More Pertinent Captions by Leveraging Semantics and Style on Multi-Source Datasets M. Cornia, L. Baraldi, G. Fiameni, R ...

The objective of image captioning models is to bridge the gap between the visual and linguistic modalities by generating natural language descriptions that ...

Generating More Pertinent Captions by Leveraging Semantics and Style on Multi-Source Datasets · Author Picture Marcella Cornia,; Author Picture Lorenzo Baraldi ...

This paper addresses the task of generating fluent descriptions by training on a non-uniform combination of data sources, containing both human-annotated and ...