Synthetic data augmentation by diffusion probabilistic models to enhance weed recognition.
Dong ChenXinda QiYu ZhengYuzhen LuYanbo HuangZhaojian LiPublished in: Comput. Electron. Agric. (2024)
Keyphrases
- synthetic data
- probabilistic model
- graphical models
- real world
- recognition rate
- real image data
- recognition accuracy
- conditional random fields
- data sets
- object recognition
- recognition algorithm
- activity recognition
- generative model
- probabilistic modeling
- recognition process
- bayesian inference
- pattern recognition
- mri data
- automatic recognition
- anisotropic diffusion
- action recognition
- visual recognition
- human activities
- feature extraction
- language model
- social networks
- synthetic datasets
- diffusion process
- bayesian networks
- database
- diffusion model