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Semi-supervised 3D object recognition through CNN labeling.

, , , , и . Appl. Soft Comput., (2018)

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Carlos José Forlenza

José Carlos Martin

José Carlos Bressiani

José Carlos Gaspar Venâncio

José Carlos Ama Gonzalo

 

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Using GNG on 3D Object Recognition in Noisy RGB-D data., , , , и . IJCNN, стр. 1-7. IEEE, (2015)An augmented reality application for improving shopping experience in large retail stores., , , , , , и . Virtual Real., 23 (3): 281-291 (2019)Robot Semantic Localization Through CNN Descriptors., , и . ROBOT (1), том 693 из Advances in Intelligent Systems and Computing, стр. 567-578. Springer, (2017)Finding the Place: How to Train and Use Convolutional Neural Networks for a Dynamically Learning Robot., , , , , и . IJCNN, стр. 1-8. IEEE, (2018)Object Recognition in Noisy RGB-D Data., , , , и . IWINAC (2), том 9108 из Lecture Notes in Computer Science, стр. 261-270. Springer, (2015)Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras., и . DCAI (Special Sessions), том 801 из Advances in Intelligent Systems and Computing, стр. 457-464. Springer, (2018)Semi-supervised 3D object recognition through CNN labeling., , , , и . Appl. Soft Comput., (2018)Automatic semantic maps generation from lexical annotations., , , , и . Auton. Robots, 43 (3): 697-712 (2019)Semantic Localization of a Robot in a Real Home., , , , и . WAF, том 855 из Advances in Intelligent Systems and Computing, стр. 3-15. Springer, (2018)