RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised View - 代码天地

RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised View

编程语言 2020-02-21 09:11:40 阅读次数: 0

CVPR2018

论文标题	RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints
研究问题	3D形状识别与检索
前提假设	object classification与viewpoint estimation两个过程是紧密相关，相辅相成的模型通过预测每张图片对应的viewpoint,潜在地实现了pose alignment
创新点	无
解决方案	为了使得网络能够同时进行object classification和viewpoint estimation，作者
不足之处	-

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