Referring image segmentation aims to segment the target object referred by a natural
language expression. However, previous methods rely on the strong assumption that one …

Few-shot segmentation has recently generated great popularity, addressing the challenging
yet important problem of segmenting objects from unseen categories with scarce annotated …

The gut bacterium Akkermansia muciniphila has been increasingly recognized for its
therapeutic potential in treating metabolic disorders, including obesity, diabetes, and …

Supported by deep learning techniques, remote sensing scene classification, a fundamental
task in remote image analysis, has recently obtained remarkable progress. However, due to …

A highly efficient ruthenium‐catalyzed asymmetric reductive amination (ARA) of racemic β‐keto
lactams with molecular hydrogen and ammonium salts is disclosed for the synthesis of …

Code clone detection is an important research problem that has attracted wide attention in
software engineering. Many methods have been proposed for detecting code clone, among …

Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities in
various multimodal tasks. However their potential in the medical domain remains largely …

Surface modification is a promising way to improve membrane performance. In this study, a
commercial aromatic polyamide thin-film composite reverse osmosis membrane was …

Most of the recent advances in crowd counting have evolved from hand-designed density
estimation networks, where multi-scale features are leveraged to address the scale variation …

Aqueous two-phase extraction (ATPE) was employed for the extraction and preliminary
purification of anthocyanins in grape juice (GA). The influences of such factors as the type and …