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It proposes the Balanced Binary Angular Margin (BBAM) loss. This loss function helps balance the "variance bias" between positive and negative samples by looking at the angle of features in a multi-label setup.

Published at NeurIPS 2024 (Conference on Neural Information Processing Systems). Access: Available through the NeurIPS Proceedings . 3. Note on ".rar" Files BBAM.rar

It uses a trained object detector to find the "smallest area" of an image that makes the detector produce the same result, effectively creating a map that identifies the object within the box. It proposes the Balanced Binary Angular Margin (BBAM) loss