4 accepted papers
Anomaly detection is a critical task across numerous domains and modalities, yet existing methods are often highly specialized, limiting their generalizability. These specialized models, tailored for specific anomaly types like textural defects or logical errors, typically exhibit limited performanc
Vision-language models can perform new tasks without parameter updates through in-context learning (ICL), whose core mechanism is utilizing the support set for task induction. In standard ICL setting, once the task is induced, its decision boundary, i.e., the criterion, remains fixed. However, in re…
This paper presents the design, fabrication, and testing of a novel magnetically actuated biaxial robot with compact structure and easy operation. For the first time, the untethered robot enables grasping, rotating, and transporting operations of the target object by integrating magnetic torque and
Microinjection of zebrafish larvae is one of the most common procedures in biomedical experiments. Majority of microinjection work of zebrafish larvae in the laboratory is operated manually. Manual operation is influenced by many factors, and it is difficult to maintain steady efficiency and high su