<i>FeatAug-DETR:</i> Enriching One-to-Many Matching for DETRs With Feature Augmentation-Reference-Cited by-同舟云学术

FeatAug-DETR: Enriching One-to-Many Matching for DETRs With Feature Augmentation

Author:

Fang Rongyao¹^ORCID,Gao Peng²^ORCID,Zhou Aojun¹^ORCID,Cai Yingjie¹^ORCID,Liu Si³^ORCID,Dai Jifeng⁴^ORCID,Li Hongsheng⁵^ORCID

Affiliation:

1. Chinese University of Hong Kong, Hong Kong SAR, China

2. Shanghai AI Laboratory, Shanghai, China

3. Beihang University, Beijing, China

4. Tsinghua University, Beijing, China

5. Centre for Perceptual and Interactive Intelligence, Chinese University of Hong Kong, Hong Kong, China

Funder

National Key R&D Program of China

Centre for Perceptual and Interactive Intelligence (CPII) Ltd.

General Research Fund of Hong Kong RGC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference54 articles.

1. Deformable DETR: Deformable transformers for end-to-end object detection;Zhu,2020

4. YOLOv3: An incremental improvement;Redmon,2018

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