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A Multi-label Imbalanced Data Classification Method Based on Label Partition IntegrationCurrently, resampling methods can be used to solve the problem of imbalanced classification of multi-label data. However, resampling methods ignore the correlation between labels, which may pull in new imbalance while changing the distribution of the original dataset, resulting in a decrease in clas侧面左右 发表于 2025-4-3 08:34:51
X-ray Prohibited Items Recognition Based on Improved YOLOv5tor is an important scanning device in the security inspection of public transportation and express packages. However, current intelligent detection algorithms face problems such as a limited dataset of prohibited items, the imbalanced distribution of categories, variable target postures, and varyin漫步 发表于 2025-4-3 15:33:20
X-ray Prohibited Items Recognition Based on Improved YOLOv5tor is an important scanning device in the security inspection of public transportation and express packages. However, current intelligent detection algorithms face problems such as a limited dataset of prohibited items, the imbalanced distribution of categories, variable target postures, and varyin