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Adaptive Coarse-to-Fine Interactor for Multi-Scale Object Detection
Li Zekun1,2; Liu Yufan1,2; Li Bing1,2,4; Hu Weiming1,2,3; Zhou Xue5
2021
Conference NameInternational Joint Conference on Neural Networks
Conference Date2021.07
Conference Place线上
Abstract

Scale variation is one of the key challenges of object detection. Multi-level feature fusion is presented to alleviate the problems, e.g., Feature Pyramid Network (FPN) and its extended methods. However, the input features fed into these methods and the interaction among features from different levels are insufficient and rigid. To fully exploit the features of multi-scale objects and enhance the feature interaction, we propose a novel and effective framework called Adaptive Coarse-to-Fine Interactor (ACFI). Specifically, ACFI consists of three cascaded components: Multi-Resolution Fusion (MRF), Fine-Grained Interaction (FGI), and Edge-aware Enhancement (EAE). MRF adaptively extracts multi-level features from multi-resolution images and multi-stage features, and then these features are fed into FGI to have a fine-grained interaction utilizing bottom-up guidance. After that, EAE further refines the features obtained by FGI, and enhances the detailed edge information and suppresses the redundant noise. After the coarse-to-fine process, we can obtain powerful multi-scale representations of various objects. Each component can be embedded into any backbones, separately. Experimental results show the superiority of our method and verify the effectiveness of each proposed module.

Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/48855
Collection模式识别国家重点实验室_视频内容安全
Corresponding AuthorLi Bing
Affiliation1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
2.School of Artificial Intelligence, University of Chinese Academy of Sciences
3.CAS Center for Excellence in Brain Science and Intelligence Technology
4.PeopleAI Inc
5.School of Automation Engineering University of Electronic Science and Technology of China.
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Li Zekun,Liu Yufan,Li Bing,et al. Adaptive Coarse-to-Fine Interactor for Multi-Scale Object Detection[C],2021.
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