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

This paper presents a framework for localization or grounding of phrases inimages using a large collection of linguistic and visual cues. We model theappearance, size, and position of entity bounding boxes, adjectives thatcontain attribute information, and spatial relationships between pairs ofentities connected by verbs or prepositions. Special attention is given torelationships between people and clothing or body part mentions, as they areuseful for distinguishing individuals. We automatically learn weights forcombining these cues and at test time, perform joint inference over all phrasesin a caption. The resulting system produces state of the art performance onphrase localization on the Flickr30k Entities dataset and visual relationshipdetection on the Stanford VRD dataset.

Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues