Swin-CFNet: An Attempt at Fine-Grained Urban Green Space Classification Using Swin Transformer and Convolutional Neural Network.
Yehong WuMeng ZhangPublished in: IEEE Geosci. Remote. Sens. Lett. (2024)
Keyphrases
- fine grained
- convolutional neural network
- coarse grained
- tightly coupled
- face detection
- classification accuracy
- machine learning
- access control
- massively parallel
- decision trees
- feature space
- fuzzy logic
- fault diagnosis
- feature vectors
- training set
- support vector
- video sequences
- feature selection
- markov random field
- support vector machine