PANetW: PANet with wider receptive fields for object detection-Reference-Cited by-同舟云学术

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PANetW: PANet with wider receptive fields for object detection

Published:2024-01-24 Issue:25 Volume:83 Page:66517-66538
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Chen Ran,Xin Dongjun,Wang Chuanli,Wang Peng,Tan Junwen,Kang Wenjie

Funder

Education Department of Hunan Province

Central South University of Forestry and Technology

Natural Science Foundation of Hunan Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-18219-7.pdf

Reference39 articles.

1. Bochkovskiy A, Wang CY, Liao HYM (2020) Yolov4: Optimal speed and accuracy of object detection. arXiv:2004.10934https://doi.org/10.48550/arxiv.2004.10934

2. Carion N, Massa F, Synnaeve G, et al (2020) End-to-end object detection with transformers. In: Computer Vision - ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part I. Springer-Verlag, p 213-229. https://doi.org/10.1007/978-3-030-58452-8_13

3. Chen L, Papandreou G, Kokkinos I et al (2018) Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE Trans Pattern Anal Mach Intell 40(4):834–848. https://doi.org/10.1109/TPAMI.2017.2699184

4. Chen Q, Wang Y, Yang T, et al (2021) You only look one-level feature. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp 13034–13043. https://doi.org/10.1109/CVPR46437.2021.01284

5. Everingham M, Van Gool L, Williams C et al (2010) The pascal visual object classes (voc) challenge. Int J Comput Vis 88:303–338. https://doi.org/10.1007/s11263-009-0275-4

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