Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation.
Zhaohui ZhengPing WangDongwei RenWei LiuRongguang YeQinghua HuWangmeng ZuoPublished in: CoRR (2020)
Keyphrases
- learning scheme
- image segmentation
- object detection
- prior knowledge
- computational model
- learning algorithm
- boltzmann machine
- learning process
- learning models
- probabilistic model
- inference process
- dynamic bayesian networks
- segmentation method
- learned models
- structured prediction
- parameter learning
- bayesian inference
- level set
- supervised learning
- feature selection