"CUBIT-Det: High-Definition Multi-Scenario Defect Dataset for ..."

Benyun Zhao et al. (2024)

> Home

Details and statistics

DOI: 10.1109/ICCA62789.2024.10591947

access: closed

type: Conference or Workshop Paper

metadata version: 2025-09-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icca/ZhaoZYWZCC24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icca/ZhaoZYWZCC24
Benyun Zhao, Xunkuai Zhou, Guidong Yang, Junjie Wen, Jihan Zhang, Xi Chen, Ben M. Chen:
CUBIT-Det: High-Definition Multi-Scenario Defect Dataset for Infrastructures Fully Evaluated with Deep Learning Processes. ICCA 2024: 508-515

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.