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

In this paper, we present the task of generating image descriptions with gold standard visual detections as input, rather than directly from an image. This allows the Natural Language Generation community to focus on the text generation process, rather than dealing with the noise and complications arising from the visual detection process. We propose a fine-grained evaluation metric specifically for evaluating the content selection capabilities of image description generation systems. To demonstrate the evaluation metric on the task, several baselines are presented using bounding box information and textual information as priors for content selection. The baselines are evaluated using the proposed metric, showing that the fine-grained metric is useful for evaluating the content selection phase of an image description generation system.

Generating Image Descriptions with Gold Standard Visual Inputs: Motivation, Evaluation and Baselines