Robot target recognition using deep federated learning
B Xue, Y He, F Jing, Y Ren, L Jiao… - International Journal of …, 2021 - Wiley Online Library
Robot target recognition is a critical and fundamental machine vision task. In this paper,
InVision, a robot target recognition approach is proposed using deep federated learning …
InVision, a robot target recognition approach is proposed using deep federated learning …
Bridging between computer and robot vision through data augmentation: a case study on object recognition
A D'Innocente, FM Carlucci, M Colosi… - Computer Vision Systems …, 2017 - Springer
Despite the impressive progress brought by deep network in visual object recognition, robot
vision is still far from being a solved problem. The most successful convolutional …
vision is still far from being a solved problem. The most successful convolutional …
Deep learning based object recognition for robot picking task
The primary objective of this research work is to converge into an accurate working
algorithm for object recognition in a cluttered scene and subsequently helping the BAXTER …
algorithm for object recognition in a cluttered scene and subsequently helping the BAXTER …
CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction
Human-robot interaction (HRI) is a rapidly growing field that encompasses social and
industrial applications. Machine learning plays a vital role in industrial HRI by enhancing the …
industrial applications. Machine learning plays a vital role in industrial HRI by enhancing the …
Deep transfer learning for military object recognition under small training set condition
Z Yang, W Yu, P Liang, H Guo, L Xia, F Zhang… - Neural Computing and …, 2019 - Springer
Convolutional neural network is powerful for general object recognition. However, its
excellent performance depends largely on huge training set. Facing task like military object …
excellent performance depends largely on huge training set. Facing task like military object …
Recognizing objects in-the-wild: Where do we stand?
MR Loghmani, B Caputo… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
The ability to recognize objects is an essential skill for a robotic system acting in human-
populated environments. Despite decades of effort from the robotic and vision research …
populated environments. Despite decades of effort from the robotic and vision research …
Object detection and recognition of intelligent service robot based on deep learning
Y Zhang, H Wang, F Xu - 2017 IEEE International Conference …, 2017 - ieeexplore.ieee.org
Object detection and recognition is the premise and foundation for intelligent service robot to
understand the surrounding environment and make intelligent decisions. In this paper …
understand the surrounding environment and make intelligent decisions. In this paper …
Vehicle type recognition in surveillance images from labeled web-nature data using deep transfer learning
Vehicle type recognition from surveillance images represents a challenging task in the
domain of intelligent monitoring systems. Recently, deep learning methods have been …
domain of intelligent monitoring systems. Recently, deep learning methods have been …
A sustainable deep learning framework for object recognition using multi-layers deep features fusion and selection
With an overwhelming increase in the demand of autonomous systems, especially in the
applications related to intelligent robotics and visual surveillance, come stringent accuracy …
applications related to intelligent robotics and visual surveillance, come stringent accuracy …
Robust object recognition through symbiotic deep learning in mobile robots
Despite the recent success of state-of-the-art deep learning algorithms in object recognition,
when these are deployed as-is on a mobile service robot, we observed that they failed to …
when these are deployed as-is on a mobile service robot, we observed that they failed to …