An unsupervised multi-view contrastive learning framework with attention-based reranking strategy for entity alignment.
Yan LiangWeishan CaiMinghao YangYuncheng JiangPublished in: Neural Networks (2024)
Keyphrases
- multi view
- multi view learning
- semi supervised
- supervised learning
- single view
- three dimensional
- face alignment
- camera calibration
- learning algorithm
- d objects
- unsupervised learning
- depth map
- computer vision
- co training
- multi task
- incremental learning
- multiple views
- range images
- active learning
- learning process
- learning problems
- unlabeled data
- semi supervised learning
- multi view stereo
- multi view semi supervised learning
- multiple cameras
- multi task learning
- pairwise