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A Recipe for CAC: Mosaic-based Generalized Loss for Improved Class-Agnostic Counting
Class agnostic counting (CAC) is a vision task that can be used to count the total occurrence number of any given reference objects in the query image.
Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models
The proposed workflow contains two key components: image-level captioning and segment-level captioning for the building images based on the vocabularies pertinent to structural and civil engineering.
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