A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...
Abstract: This paper presents an innovative code visualization tool that simplifies code comprehension and improves conceptual clarity for students and educators, while significantly enhancing ...
We propose HQ-SAM to upgrade SAM for high-quality zero-shot segmentation. Refer to our paper for more details. 2023/06/23: Play with HQ-SAM demo at , which supports point, box and text prompts.
Abstract: Large Language Models (LLMs) have demonstrated remarkable performance in code generation but still face significant limitations in specialized domains such as scientific visualization. First ...
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