Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient?
Quentin BouniotAngélique LoeschAmaury HabrardRomaric AudigierPublished in: WACV (2023)
Keyphrases
- object detection
- learning tasks
- prior knowledge
- learning algorithm
- learning process
- learning systems
- active learning
- online learning
- object detectors
- learned models
- supervised learning
- learning problems
- learning experience
- face detection
- structured prediction
- reinforcement learning
- dynamic bayesian networks
- unsupervised learning
- discriminatively trained
- learning models
- neural nets
- generative model
- probabilistic model
- metadata
- e learning