Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction.
Yuting ZhangKihyuk SohnRuben VillegasGang PanHonglak LeePublished in: CoRR (2015)
Keyphrases
- structured prediction
- object detection
- maximum margin
- latent variables
- conditional random fields
- approximate inference
- network structure
- bayesian networks
- max margin
- markov networks
- maximum likelihood
- multi class
- efficient learning
- convex optimization
- belief propagation
- prior information
- belief networks
- bayesian inference
- posterior distribution
- markov random field
- prior knowledge
- object recognition
- machine learning