End-To-End Semi-supervised Learning for Differentiable Particle Filters.
Hao WenXiongjie ChenGeorgios PapagiannisConghui HuYunpeng LiPublished in: CoRR (2020)
Keyphrases
- end to end
- semi supervised learning
- particle filter
- semi supervised
- unlabeled data
- particle filtering
- object tracking
- visual tracking
- unsupervised learning
- labeled data
- supervised learning
- objective function
- mean shift
- state space
- training data
- appearance model
- active learning
- machine learning
- loss function
- co training
- color histogram
- multiple objects
- markov chain
- markov random field
- dimensionality reduction
- pairwise