Skip to content
DraconiticResearch
Search Sources API
203,948 studies31 sourcesUpdated 42 min ago
Peer-reviewedCC BY 4.0Scientific Reports

SSLD-DET: improving symbol detection in station signalling layout drawings with multi-scale feature fusion and advanced attention mechanisms

Related

  1. Improved YOLOv7-based surface defect detection method incorporating feature retention and densely-scale spatial attention mechanisms
    Young-Long Chen, Chien-Yun Ko, Yu-Chieh Chang +1
    Scientific ReportsPeer-reviewedCC BY 4.0Crossref
  2. PatentOCR: A Benchmark for Fine-Grained Detection and OCR of Component Identifiers in Patent Drawings
    Yueyue Wang, Yihui Qiu, Yingyue Chen
    Scientific DataPeer-reviewedCC BY-NC-ND 4.0Full textPMC
  3. Lightweight YOLOv8n marigold corolla detection and picking-point localization method based on ECR progressive channel compression and dual attention mechanisms
    Yingfan Wang, Baojian Ma, Zhenghao Wu +2
    Frontiers in Plant SciencePeer-reviewedCC BY 4.0Plant biologyFrontiersCrossref
  4. Network representations of digital clock drawings for cognitive impairment detection
    A. Pinheiro, H. Cheng, C. Karjadi +6
    medRxivPreprintCC BY-NC-NDFull textEpidemiology & public healthmedRxiv
  5. Improving explainability of attention-based deep learning models for thermal analysis systems
    Mohammed Al-Shalabi, Mohammad Shehab, Meshari Alazmi +3
    Scientific ReportsPeer-reviewedCC BY 4.0Crossref
BibTeX
@article{kuang2026sslddet,
  title = {{SSLD-DET: improving symbol detection in station signalling layout drawings with multi-scale feature fusion and advanced attention mechanisms}},
  author = {Wenzhen Kuang and Yunchen Hao},
  journal = {Scientific Reports},
  year = {2026},
  month = nov,
  doi = {10.1038/s41598-026-79115-8},
  url = {https://www.nature.com/articles/s41598-026-79115-8},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - SSLD-DET: improving symbol detection in station signalling layout drawings with multi-scale feature fusion and advanced attention mechanisms
AU  - Wenzhen Kuang
AU  - Yunchen Hao
PY  - 2026
DA  - 2026/11/09
JO  - Scientific Reports
DO  - 10.1038/s41598-026-79115-8
UR  - https://www.nature.com/articles/s41598-026-79115-8
SN  - 2045-2322
ER  -