End-to-End Semi-supervised Learning for Differentiable Particle Filters.
Hao WenXiongjie ChenGeorgios PapagiannisConghui HuYunpeng LiPublished in: ICRA (2021)
Keyphrases
- end to end
- semi supervised learning
- particle filter
- semi supervised
- visual tracking
- labeled data
- unlabeled data
- particle filtering
- object tracking
- state space
- supervised learning
- machine learning
- active learning
- unsupervised learning
- training data
- mean shift
- co training
- appearance model
- loss function
- color histogram
- objective function
- markov chain monte carlo
- multiple objects
- search space
- support vector
- learning algorithm