We find a commonality of various dirty samples is visual-linguistic inconsistency between images and associated labels. To capture the semantic inconsistency between modalities, we propose versatile ...
Abstract: Robot navigation in an unknown environment is a challenging task, due to the lack of spatial awareness and semantic understanding of the environment. Previous works predominantly relied on ...
BioRender provides a rich set of tools for creating highly accurate images from biology. The tools provide a visual language to support AI in the biological domain. Notation and diagrams are essential ...
CLIP is one of the most important multimodal foundational models today. What powers CLIP’s capabilities? The rich supervision signals provided by natural language, the carrier of human knowledge, ...
This paper aims to address universal segmentation for image and video perception with the strong reasoning ability empowered by Visual Large Language Models (VLLMs). Despite significant progress in ...
Abstract: Industrial visual monitoring (IVM) is crucial for operation and maintenance, and artificial intelligence (AI) has excelled in this domain. As a revolutionary breakthrough in AI, large models ...
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