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双关联变压器网络 (DRTN):具有特征删除和对比学习的双关联变压器网络,用于多标签图像分类

Wei Zhou1, Kang Lin1, Zhijie Zheng1

  • 1School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, 510006, Guangdong, China.

Neural networks : the official journal of the International Neural Network Society
|March 6, 2025
PubMed
概括

双关系变压器网络 (DRTN) 通过保存空间信息和增强特征学习来改善多标签图像分类. 这种新的方法超越了对基准数据集的现有模型.

关键词:
相反的学习学习.功能删除 功能删除多标签图像分类多标签图像分类伪地区 伪地区变压器变压器变压器

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