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; Huang, Kaiqi1,2,4 | |
发表期刊 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY |
ISSN | 1051-8215 |
2021-02-01 | |
卷号 | 31期号:2页码:661-673 |
摘要 | Proposal-free instance segmentation methods mainly 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. In addition to the lack of efficiency, previous methods also failed to perform as well as proposal-based approaches. 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 learning an affinity pyramid, which computes the probability that two pixels belong to the same instance in a hierarchical manner. Moreover, incorporating with the learned affinity pyramid, a novel cascaded graph partition (CGP) module is presented to fuse the two predictions and segment instances efficiently. As an additional contribution, we conduct an experiment to demonstrate the benefits of proposal-free methods in capturing detailed structures from finely annotated training examples. Our approach is evaluated on the Cityscapes and COCO datasets and achieves state-of-the-art performance. |
关键词 | Instance segmentation panoptic segmentation pixel-pair affinity graph partition |
DOI | 10.1109/TCSVT.2020.2985420 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Key Research and Development Program of China[2016YFB1001005] ; National Natural Science Foundation of China[61673375] ; National Natural Science Foundation of China[61721004] ; National Natural Science Foundation of China[61876181] ; Chinese Academy of Science[QYZDB-SSW-JSC006] ; Youth Innovation Promotion Association CAS |
项目资助者 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Chinese Academy of Science ; Youth Innovation Promotion Association CAS |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Electrical & Electronic |
WOS记录号 | WOS:000615044400019 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
七大方向——子方向分类 | 图像视频处理与分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/43263 |
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 | Huang, Kaiqi |
作者单位 | 1.CRISE, Institute of Automation, Chinese Academy of Sciences 2 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[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2021,31(2):661-673. |
APA | Gao, Naiyu,Shan, Yanhu,Wang, Yupei,Zhao, Xin,&Huang, Kaiqi.(2021).SSAP: Single-Shot Instance Segmentation With Affinity Pyramid.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,31(2),661-673. |
MLA | Gao, Naiyu,et al."SSAP: Single-Shot Instance Segmentation With Affinity Pyramid".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 31.2(2021):661-673. |
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