End-to-end policy learning for active visual categorization.
IEEE Transactions on Pattern Analysis and Machine Intelligence(2019)
摘要
Visual recognition systems mounted on autonomous moving agents face the challenge of unconstrained data, but simultaneously have the opportunity to improve their performance by moving to acquire new views at test time. In this work, we first show how a recurrent neural network-based system may be trained to perform end-to-end learning of motion policies suited for this “active recognition” setting...
更多查看译文
关键词
Cameras,Visualization,Recurrent neural networks,Image recognition,Task analysis,Machine vision,Pipelines
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络