Science Score: 31.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (1.8%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: SZU-AdvTech-2024
  • Default Branch: main
  • Size: 0 Bytes
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Citation

https://github.com/SZU-AdvTech-2024/131-DETRs-Beat-YOLOs-on-Real-time-Object-Detection/blob/main/

RT-DETR

--2410103020\ultralytics-main\ultralytics\cfg\models\rt-detr\rt-detr-l.yaml



'https://github.com/ultralytics/assets/releases/download/v0.0.0/VisDrone2019-DET-train.zip',          

'https://github.com/ultralytics/assets/releases/download/v0.0.0/VisDrone2019-DET-val.zip',         

'https://github.com/ultralytics/assets/releases/download/v0.0.0/VisDrone2019-DET-test-dev.zip'

Owner

  • Name: SZU-AdvTech-2024
  • Login: SZU-AdvTech-2024
  • Kind: organization

Citation (citation.txt)

@misc{REPO131,
    author = "Zhao, Yian and Lv, Wenyu and Xu, Shangliang and Wei, Jinman and Wang, Guanzhong and Dang, Qingqing and Liu, Yi and Chen, Jie",
    archiveprefix = "arXiv",
    eprint = "2304.08069",
    primaryclass = "cs.CV",
    title = "{DETRs Beat YOLOs on Real-time Object Detection}",
    url = "https://arxiv.org/abs/2304.08069",
    year = "2024"
}

GitHub Events

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