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Deep Learning
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A review of deep learning methods and applications for unmanned aerial vehicles
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
Industrial robot control with object recognition based on deep learning
CryptoKnight:generating and modelling compiled cryptographic primitives
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
Domain Adaption and Fusion for Domain-specific Traffic Sign Detection
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots
Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry
Robot-aided cloth classification using depth information and CNNs
Shared control of robot manipulators with obstacle avoidance: a deep reinforcement learning approach
Deep Reinforcement Learning for the Navigation of Neurovascular Catheters
Active garment recognition and target grasping point detection using deep learning
Active garment recognition and target grasping point detection using deep learning
A Deep Learning Approach for Object Recognition with NAO Soccer Robots
Combining learning and structure for robotic manipulation
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
Autonome Instrumentierung von Altbergbau durch einen mobilen Manipulator