Compositional visual question answering requires reasoning over both semantic and geometry object relations.
In this paper, we propose a Deep Multi-behavior Graph Networks (DMBGN) to shed light on this field for the voucher redemption rate prediction.
We summarize the latest AI-based methods for tumor subregion analysis and their applications.
The proposed method was evaluated on a cohort of 65 HN cancer patients.
Medical Physics Image and Video Processing
Lastly, we analyzed the statistics of all the cited works from various aspects, revealing the popularity and future trend of development in medical image registration using deep learning.
We therefore propose the novel notion of an any-k ranking algorithm: for a given time budget, re- turn as many of the top-ranked results as possible.
Social and Information Networks Databases Data Structures and Algorithms