]> 2026-04-04T11:05:22+02:00 Embedding DNN models on mobile robots for object detection 0 en The idea in this project is to employ transfer learning methods to teach a mobile robot to detect a handful of everyday objects in the real-world environment, and investigate the challenges and difficulties that are faced to this end Machine Learning • Pan, Sinno Jialin, and Qiang Yang. "A survey on transfer learning." IEEE Transactions on knowledge and data engineering 22.10 (2009): 1345-1359. • Yosinski, Jason, et al. "How transferable are features in deep neural networks?." Advances in neural information processing systems. 2014. Open Embedding DNN models on mobile robots for object detection 2019-10-01T15:23:53Z 2458758.1415856 Embedding DNN models on mobile robots for object detection 0 [2,"smw-datavalue-property-restricted-annotation-use","Keywords"] Embedding DNN models on mobile robots for object detection# ERRd9c33d5ac8a89308063e13c4b212fa7c