Deep Free-Form Deformation Network for Object-Mask Registration

doi:10.1109/ICCV.2017.456

	Deep Free-Form Deformation Network for Object-Mask Registration
	Zhang, Haoyang 1; He, Xuming2
	2017
会议录名称	2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV)
ISSN	2380-7504
卷号	2017-October
页码	4261-4269
发表状态	已发表
DOI	10.1109/ICCV.2017.456
摘要	This paper addresses the problem of object-mask registration, which aligns a shape mask to a target object instance. Prior work typically formulate the problem as an object segmentation task with mask prior, which is challenging to solve. In this work, we take a transformation based approach that predicts a 2D non-rigid spatial transform and warps the shape mask onto the target object. In particular, we propose a deep spatial transformer network that learns free-form deformations (FFDs) to non-rigidly warp the shape mask based on a multi-level dual mask feature pooling strategy. The FFD transforms are based on B-splines and parameterized by the offsets of predefined control points, which are differentiable. Therefore, we are able to train the entire network in an end-to-end manner based on L2 matching loss. We evaluate our FFD network on a challenging object-mask alignment task, which aims to refine a set of object segment proposals, and our approach achieves the state-of-the-art performance on the Cityscapes, the PASCAL VOC and the MSCOCO datasets.
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
会议地点	Venice, Italy
会议日期	22-29 Oct. 2017
URL	查看原文
收录类别	CPCI ; EI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000425498404035
出版者	IEEE
EI入藏号	20180704804209
EI主题词	Deformation
EI分类号	Computer Applications:723.5
原始文献类型	Proceedings Paper
来源库	IEEE
引用统计	正在获取...
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/16302
专题	信息科学与技术学院_PI研究组_何旭明组
通讯作者	Zhang, Haoyang
作者单位	1.Australian Natl Univ, Data61, CSIRO, Canberra, ACT, Australia 2.ShanghaiTech Univ, Shanghai, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Haoyang,He, Xuming. Deep Free-Form Deformation Network for Object-Mask Registration[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2017:4261-4269.