Abstract: Open-world object detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown ...
Abstract: Few-shot learning (FSL) is transforming object recognition, allowing models to recognize new objects with minimal data, addressing the issue of data scarcity in fields like medical imaging ...
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