"The CropAndWeed Dataset: a Multi-Modal Learning Approach for Efficient ..."

Daniel Steininger et al. (2023)

> Home

Details and statistics

DOI: 10.1109/WACV56688.2023.00372

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/wacv/SteiningerTCSW23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/wacv/SteiningerTCSW23
Daniel Steininger, Andreas Trondl, Gerardus Croonen, Julia Simon, Verena Widhalm:
The CropAndWeed Dataset: a Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation. WACV 2023: 3718-3727

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.