Shypd.aiThe largest open index of AI toolsObjectDetectionImbalance is an academic research tool that lists papers related to imbalance problems in object detection. It provides an up-to-date repository of studies, following a specific taxonomy.
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ObjectDetectionImbalance is a comprehensive repository dedicated to cataloging research papers that address imbalance problems within the field of object detection. This resource is meticulously maintained to provide an up-to-date list of relevant studies, organized according to a specific taxonomy outlined in a key review paper. Researchers and practitioners in computer vision can leverage this repository to quickly find papers on topics such as class imbalance (foreground-background, foreground-foreground), scale imbalance (object/box-level, feature-level), spatial imbalance (regression loss, IoU distribution, object location), and objective imbalance. It serves as a valuable reference for understanding and tackling common challenges in object detection research.
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