U-Net/ResNet-50 Network with Transfer Learning for Semantic Segmentation in Search and Rescue.
Andrés Salas-EspinalesElián Vélez-ChávezRicardo Vázquez MartínAlfonso García-CerezoAnthony MandowPublished in: ROBOT (2) (2023)
Keyphrases
- transfer learning
- semantic segmentation
- search and rescue
- machine learning algorithms
- machine learning
- superpixels
- semi supervised learning
- active learning
- reinforcement learning
- labeled data
- multi robot
- text classification
- weakly supervised
- learning algorithm
- text mining
- dynamic environments
- unlabeled data
- feature space
- object recognition
- path planning
- object categories
- robotic systems
- feature selection