As a promising field, Multi-Query Image Retrieval (MQIR) aims at searching for the
semantically relevant image given multiple region-specific text queries. Existing works …

In the realm of long document classification (LDC), previous research has predominantly
focused on modeling unimodal texts, overlooking the potential of multi-modal documents …

Image-text matching has attracted much attention as one of the visual-linguistic tasks. Most
of the existing methods tend to concentrate on single-level semantic similarity by global …

The learning-based methods have improved the performances of co-salient object detection
(CoSOD). Mining the intra-image saliency individuals and exploring the inter-image co …

Video salient object detection (VSOD) aims to segment the most attractive objects from a
video sequence. Exploring video semantics and suppressing noise objects are two …

Abstract Knowledge transfer has become a promising approach for improving the
performance and efficiency of relatively lightweight networks. Previous research has focused …

Due to the large French vocabulary, how quickly retrieve and accurately identify the required
vocabulary is still a big challenge in French learning. In view of the above problems, we …