CVPR 2020-Panoptic Segmentation

研究概况

全景分割（Panoptic Segmentation） 在CVPR 2019 被提出，但一年多来已经引起广泛关注，CVPR 2020 总计有 8 篇文章。概念：即同时实现对背景的语义分割和前景的实例分割。下图中，(b)语义分割的结果是相同语义的对象标成相同的颜色，（c）实例分割是对目标前景分个体的像素级标注来，（d）全景分割结合了语义分割和实例分割的结果。

论文列表（8篇）

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
Code：https://github.com/bowenc0221/panoptic-deeplab

BANet: Bidirectional Aggregation Network With Occlusion Handling for Panoptic Segmentation

Real-Time Panoptic Segmentation From Dense Detections

Bidirectional Graph Reasoning Network for Panoptic Segmentation

Pixel Consensus Voting for Panoptic Segmentation

Video Panoptic Segmentation(Oral)
Code: https://github.com/mcahny/vps

Learning Instance Occlusion for Panoptic Segmentation

Unifying Training and Inference for Panoptic Segmentation