Knowledge Commons of Institute of Automation,CAS
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid | |
Gao, Naiyu1,2; Shan, Yanhu3; Wang, Yupei1,2; Zhao, Xin1,2; Yu, Yinan3; Yang, Ming3; Huang, Kaiqi1,2,4 | |
2019 | |
会议名称 | International Conference on Computer Vision |
会议录名称 | IEEE International Conference on Computer Vision (ICCV) |
会议日期 | 2019 |
会议地点 | Seoul |
会议举办国 | Korea |
摘要 | Recently, proposal-free instance segmentation has received increasing attention due to its concise and efficient pipeline. Generally, proposal-free methods generate instance-agnostic semantic segmentation labels and instance-aware features to group pixels into different object instances. However, previous methods mostly employ separate modules for these two sub-tasks and require multiple passes for inference. We argue that treating these two subtasks separately is suboptimal. In fact, employing multiple separate modules significantly reduces the potential for application. The mutual benefits between the two complementary sub-tasks are also unexplored. To this end, this work proposes a single-shot proposal-free instance segmentation method that requires only one single pass for prediction. Our method is based on a pixel-pair affinity pyramid, which computes the probability that two pixels belong to the same instance in a hierarchical manner. The affinity pyramid can also be jointly learned with the semantic class labeling and achieve mutual benefits. Moreover, incorporating with the learned affinity pyramid, a novel cascaded graph partition module is presented to sequentially generate instances from coarse to fine. Unlike previous time-consuming graph partition methods, this module achieves 5× speedup and 9% relative improvement on Average-Precision (AP). Our approach achieves new state of the art on the challenging Cityscapes dataset. |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 图像视频处理与分析 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48740 |
专题 | 复杂系统认知与决策实验室_智能系统与工程 |
通讯作者 | Zhao, Xin |
作者单位 | 1.CRISE, Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences 3.Horizon Robotics, Inc. 4.CAS Center for Excellence in Brain Science and Intelligence Technology |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Gao, Naiyu,Shan, Yanhu,Wang, Yupei,et al. SSAP: Single-Shot Instance Segmentation With Affinity Pyramid[C],2019. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
SSAP-ICCV2019.pdf(4060KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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