DS-SIAUG: A Self-Training Approach Using a Disrupted Student Model for Enhanced Side-Scan Sonar Image Augmentation.
Chengyang PengShaohua JinGang BianYang CuiPublished in: Sensors (2024)
Keyphrases
- student model
- high resolution
- image features
- input image
- multiscale
- template matching
- image data
- image retrieval
- single image
- intelligent tutoring systems
- image content
- student modelling
- image regions
- mobile robot
- low level
- machine learning
- image classification
- raster scan
- concept maps
- edge detection
- semi supervised
- learning process