English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Automatic description generation from natural images is a challenging problemthat has recently received a large amount of interest from the computer visionand natural language processing communities. In this survey, we classify theexisting approaches based on how they conceptualize this problem, viz., modelsthat cast description as either generation problem or as a retrieval problemover a visual or multimodal representational space. We provide a detailedreview of existing models, highlighting their advantages and disadvantages.Moreover, we give an overview of the benchmark image datasets and theevaluation measures that have been developed to assess the quality ofmachine-generated image descriptions. Finally we extrapolate future directionsin the area of automatic image description generation.

Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures