Deep Watershed Transform for Instance Segmentation
cvpr17的一篇文章， 作者：Min Bai； Raquel Urtasun https://arxiv.org/pdf/1611.08303.pdf 之前效果较好的 Instance segmentation主要是使用proposal的方式，比如FCIS或者Mask rcnn，本文提出了骨骼清奇的深度分水岭的方法。 1. Watershed Transform 首先来说一下传统的分水岭算法：
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相关文章
- 1. Deep Watershed Transform for Instance Segmentation
- 2. Deep Watershed Transform for Instance Segmentation阅读笔记
- 3. 物体分割--Deep Watershed Transform for Instance Segmentation
- 4. Deep Snake for Real-Time Instance Segmentation
- 5. Image Processing28（Image Segmentation with Distance Transform and Watershed Algorithm )
- 6. Conditional Convolutions for Instance Segmentation译文
- 7. Segmentation简记-Hybrid Task Cascade for Instance Segmentation
- 8. Instance Segmentation入门总结
- 9. Deep Snake for Real-Time Instance Segmentation：基于Deep Snake的实例实时分割
- 10. RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation