Therefore, it is possible to train our proposed SparsePose directly in an end-to-end manner by utilizing a pose heatmap loss, similar to the approach adopted in numerous prior studies [5, 35, 52, 58, 62]. However, considering our comprehensive analysis of acquiring multiple heatmaps for accurate pose estimation, it becomes essential to explore the potential benefits of introducing differentiated supervision at the heatmap level. Hence, investigating this aspect can yield valuable insights and advancements in the field

你来充当论文编辑专家修正语法错误让段落表达更学术化逻辑更清晰并多采用thereforehoweverhenceconsequencetlyalthough等逻辑关系的转折词。注意我不需要你在原文上扩展只需要润色我给出的段落。段落如下:We can certainly train our proposed SparsePose in a direct end-to-end manner with a

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