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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 | |
发表期刊 | Machine Intelligence Research
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ISSN | 2731-538X |
2023 | |
卷号 | 20期号:1页码:92-108 |
摘要 | 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. |
关键词 | Camouflaged object detection (COD) object gradient soft grouping efficient model image segmentation |
DOI | 10.1007/s11633-022-1365-9 |
语种 | 英语 |
七大方向——子方向分类 | 其他 |
国重实验室规划方向分类 | 其他 |
是否有论文关联数据集需要存交 | 否 |
中文导读 | https://mp.weixin.qq.com/s/uLg9r9--Cb-jlArnw9l51g |
视频解析 | https://www.bilibili.com/video/BV1au4y1C7s6/ |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/55968 |
专题 | 学术期刊_Machine Intelligence Research |
作者单位 | 1.School of Computer Science, Wuhan University, Wuhan 430072, China 2.Computer Vision Laboratory, ETH Zürich, Zürich 8092, Switzerland |
推荐引用方式 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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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
MIR-2022-05-171.pdf(5723KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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