Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"YOLO-Xweld: Efficiently Detecting Pipeline Welding Defects in X-Ray Images ..."

Jun Yang et al. (2022)

> Home

Details and statistics

DOI: 10.1109/IJCNN55064.2022.9892765

access: closed

type: Conference or Workshop Paper

metadata version: 2022-10-10

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ijcnn/YangFZW22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ijcnn/YangFZW22
Jun Yang, Bo Fu, Jinquan Zeng, Shengxi Wu:
YOLO-Xweld: Efficiently Detecting Pipeline Welding Defects in X-Ray Images for Constrained Environments. IJCNN 2022: 1-7

a service of

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.