文件列表:
分布式实例分割:用潜在的 MaskRCNN 模型建模不确定性和高置信度预测【英文版】.pdf |
下载文档 |
资源简介
>
英文标题:Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN中文摘要:本文提出一种基于概率分布的实例分割方法,利用潜在编码来建模物体掩膜的可能假设,从而降低机器人应用中的临界错误率。在实际服装拣选机器人上,该方法成功降低了错误率并提高了性能。英文摘要:Object recognition and instance segmentation are fundamental skills in anyrobotic or autonomous system. Existing state-of-the-art methods are oftenunable to capture meaningful uncertainty in challenging or ambiguous scenes,and as such can cause critical errors in high-performance applic
加载中...
已阅读到文档的结尾了