OWOD
Visit ToolOWOD is an AI tool for Open World Object Detection that identifies unknown object instances and incrementally learns new categories. It was presented at CVPR 2021 as an oral paper.
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OWOD is an AI tool for Open World Object Detection that identifies unknown object instances and incrementally learns new categories. It was presented at CVPR 2021 as an oral paper.
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About
OWOD (Open World Object Detection) is an innovative AI tool designed to address the challenge of identifying unknown object instances in environments without explicit prior supervision. This solution allows models to incrementally learn new categories as corresponding labels become available, without forgetting previously learned classes. Presented as an oral paper at CVPR 2021, OWOD introduces a novel problem formulation, a robust evaluation protocol, and a unique solution called ORE (Open World Object Detector). ORE leverages contrastive clustering and energy-based unknown identification to achieve its objectives. The tool also demonstrates state-of-the-art performance in incremental object detection by effectively characterizing unknown instances, reducing confusion in the learning process. It is built on the Detectron2 library and is open-source.
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