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Deep Gradient Learning for Efficient Camouflaged Object Detection
Ge-Peng Ji1; Deng-Ping Fan2; Yu-Cheng Chou1; Dengxin Dai2; Alexander Liniger2; Luc Van Gool2
Source PublicationMachine Intelligence Research
ISSN2731-538X
2023
Volume20Issue:1Pages:92-108
Abstract

This paper introduces deep gradient network (DGNet), a novel deep framework that exploits object gradient supervision for camouflaged object detection (COD). It decouples the task into two connected branches, i.e., a context and a texture encoder. The essential connection is the gradient-induced transition, representing a soft grouping between context and texture features. Benefiting from the simple but efficient framework, DGNet outperforms existing state-of-the-art COD models by a large margin. Notably, our efficient version, DGNet-S, runs in real-time (80fps) and achieves comparable results to the cutting-edge model JCSOD-CVPR21 with only 6.82% parameters. The application results also show that the proposed DGNet performs well in the polyp segmentation, defect detection, and transparent object segmentation tasks. The code will be made available at https://github.com/GewelsJI/DGNet.

KeywordCamouflaged object detection (COD) object gradient soft grouping efficient model image segmentation
DOI10.1007/s11633-022-1365-9
Language英语
Sub direction classification其他
planning direction of the national heavy laboratory其他
Paper associated data
Chinese guidehttps://mp.weixin.qq.com/s/uLg9r9--Cb-jlArnw9l51g
Video parsinghttps://www.bilibili.com/video/BV1au4y1C7s6/
Citation statistics
Cited Times:28[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/55968
Collection学术期刊_Machine Intelligence Research
Affiliation1.School of Computer Science, Wuhan University, Wuhan 430072, China
2.Computer Vision Laboratory, ETH Zürich, Zürich 8092, Switzerland
Recommended Citation
GB/T 7714
Ge-Peng Ji,Deng-Ping Fan,Yu-Cheng Chou,et al. Deep Gradient Learning for Efficient Camouflaged Object Detection[J]. Machine Intelligence Research,2023,20(1):92-108.
APA Ge-Peng Ji,Deng-Ping Fan,Yu-Cheng Chou,Dengxin Dai,Alexander Liniger,&Luc Van Gool.(2023).Deep Gradient Learning for Efficient Camouflaged Object Detection.Machine Intelligence Research,20(1),92-108.
MLA Ge-Peng Ji,et al."Deep Gradient Learning for Efficient Camouflaged Object Detection".Machine Intelligence Research 20.1(2023):92-108.
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