AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling.
Wenshuo MaTingzhong TianHang XuYimin HuangZhenguo LiPublished in: ECCV (5) (2020)
Keyphrases
- markov random field
- object detection
- adaptive sampling
- global optimization
- computer vision
- data driven
- optimization method
- object classification
- optimization algorithm
- optimization problems
- random sampling
- sample size
- monte carlo
- bayesian networks
- markov chain monte carlo
- scene understanding
- deformable part models
- markov chain
- efficient optimization
- scene recognition
- sampling algorithm
- multi class
- bayesian inference
- pedestrian detection
- background subtraction
- learning algorithm
- maximum likelihood