BOAformer: Object Detection Network Based on Background-Object Attention Transformer-Reference-Cited by-同舟云学术

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BOAformer: Object Detection Network Based on Background-Object Attention Transformer

Published:2024-05-10 Issue: Volume: Page:1133-1138
ISSN:
Container-title:2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE)
language:
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Author:

Yang Yong¹,Liang Chenbin²,Huang Shuying³,Wang Xiaozheng⁴

Affiliation:

1. School of Computer Science and Technology, Tiangong University,Tianjin,China

2. School of Electronics and Information Engineering, Tiangong University,Tianjin,China

3. School of Software, Tiangong University,Tianjin,China

4. School of Control Science and Engineering, Tiangong University,Tianjin,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10652598/10652600/10653001.pdf?arnumber=10653001

Reference19 articles.

1. PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution;Chen,2024

2. YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors

3. Global–Local Feature Fusion Network for Visible–Infrared Vehicle Detection

4. End-to-End Object Detection with Transformers

5. LEMON: Learning 3D Human-Object Interaction Relation from 2D Images;Yang,2024

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