BriefGPT.xyz
Aug, 2023
无标签马匹姿态估计:来自未标记图像和合成先验的自监督方法
A Horse with no Labels: Self-Supervised Horse Pose Estimation from Unlabelled Images and Synthetic Prior
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Jose Sosa, David Hogg
TL;DR
通过仅使用未标记的图像和一小组合成2D姿势,提出了一种简单而有效的自我监督方法,可以同时学习准确的3D和2D动物姿势,从而消除了对3D或2D姿势注释(或复杂的3D动物模型)的需求,为动物姿势的估计提供了仅需未标记图像和一小组合成数据的最低要求。
Abstract
Obtaining labelled data to train
deep learning
methods for estimating
animal pose
is challenging. Recently,
synthetic data
has been widely
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