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What is: Libra R-CNN?

SourceLibra R-CNN: Towards Balanced Learning for Object Detection
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

Libra R-CNN is an object detection model that seeks to achieve a balanced training procedure. The authors motivation is that training in past detectors has suffered from imbalance during the training process, which generally consists in three levels – sample level, feature level, and objective level. To mitigate the adverse effects, Libra R-CNN integrates three novel components: IoU-balanced sampling, balanced feature pyramid, and balanced L1 loss, respectively for reducing the imbalance at sample, feature, and objective level.