HYLDA: End-to-end Hybrid Learning Domain Adaptation for LiDAR Semantic Segmentation.
Eduardo R. Corral-SotoMrigank RochanYannis Y. HeShubhra AichYang LiuBingbing LiuPublished in: CoRR (2022)
Keyphrases
- domain adaptation
- end to end
- hybrid learning
- semantic segmentation
- neuro fuzzy
- superpixels
- conditional random fields
- multiple sources
- higher education
- cross domain
- semi supervised
- online learning
- labeled data
- transfer learning
- high resolution
- semi supervised learning
- e learning
- training data
- target domain
- input image
- neural network
- supervised learning
- data sets
- unlabeled data
- probabilistic model
- prior knowledge
- data analysis
- feature selection
- information retrieval