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 ...
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Abstract: Camouflaged object detection (COD) is a challenging task that struggles to accurately detect the objects concealed in the surrounding environment. This is largely attributed to the intrinsic ...
This project trains machine learning models to predict cancer malignancy and, if malignant, classify the subtype. It provides a Streamlit app with three modes: manual input, CSV upload, and accuracy ...
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