SOLO:Segmenting Objects by Locations

时间 2021-07-10

标签 2019论文精度繁體版

原文原文链接

SOLO SOLO的中心思想是把instance segmentation的问题分解为两个相似的分类问题，分别是category-aware预测和instance-aware mask的生成。把输入图片分成SxS个格子，如果一个物体的中心落入到了一个格子中，那么这个格子就负责两件事情， 1）预测semantic category 2）生成instance mask。 ——————————————

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1. 实例分割之SOLO: Segmenting Objects by Locations
2. SOLO: Segmenting Objects by Locations 论文学习
3. 【实例分割】SOLO：Segmenting Objects by Locations
4. 【实例分割】SOLO (Segmenting Objects by Locations) 模型简介
5. Magento 2 instantiate object by Factory Objects
6. [CS131] Lecture 15 Detecting Objects by Parts
7. [CS131] Lecture 16 Recognizing Objects by Parts
8. 【实例分割_SOLOv1】SOLO: Segmenting Objects by Locations_2019
9. Locations for Public Frameworks
10. Associated Objects

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