DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment.
Bing YuHua QiQing GuoFelix Juefei-XuXiaofei XieLei MaJianjun ZhaoPublished in: CoRR (2020)
Keyphrases
- real world
- mobile robot
- real life
- environmental conditions
- wide range
- decision making
- real time
- probabilistic model
- mobile robotics
- case study
- optimal solution
- artificial neural networks
- information systems
- dynamic environments
- synthetic data
- learning community
- complex environments
- data mining
- real world environments