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This document presents a novel copy-paste augmentation method to enhance saliency learning for underrepresented object classes in object detection models. The proposed method addresses the issue of unbalanced datasets by pasting minority class samples into images lacking those samples, along with brightness adjustments to improve contextual relevance. Experimental results demonstrate significant improvements in model performance, particularly for minority classes, when using this augmentation technique.

Author

078bei001

Language

EN