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

There are rich synchronized audio and visual events in our daily life. Insidethe events, audio scenes are associated with the corresponding visual objects;meanwhile, sounding objects can indicate and help to separate their individualsounds in the audio track. Based on this observation, in this paper, we proposea cyclic co-learning (CCoL) paradigm that can jointly learn sounding objectvisual grounding and audio-visual sound separation in a unified framework.Concretely, we can leverage grounded object-sound relations to improve theresults of sound separation. Meanwhile, benefiting from discriminativeinformation from separated sounds, we improve training example sampling forsounding object grounding, which builds a co-learning cycle for the two tasksand makes them mutually beneficial. Extensive experiments show that theproposed framework outperforms the compared recent approaches on both tasks,and they can benefit from each other with our cyclic co-learning.

Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation