Weakly Supervised Instance Segmentation using Class Peak Response阅读笔记
Weakly Supervised Instance Segmentation using Class Peak Response 目前技术空缺 目前大部分弱监督下的实例分割技术需要大范围像素级的标注去训练深度神经网络，然而这种方法往往耗费大量人力物力[1]。相比之下，普通的图像分类卷积神经网络的训练，只需要简单的图像级的类别标注，即图像中有没有要求范围内的物体类别，这种操作更为简单方便。然而目前
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相关文章
- 1. 极简笔记 Weakly Supervised Instance Segmentation using Class Peak Response
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