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+keyword:("deep learning")
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Using Predictive Uncertainty for Cleaning Noisy Annotations
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
Refining action segmentation with hierarchical video representations
Crash Rate Estimation by Aerial Image Analysis
Open Fusion Platform for Automated Driving Cars Based on Nvidia DPX2
An OpenStreetMap-Based Dataset of Building Footprints for Analysing Different Types of Label Noise
Representation Learning for Robot Keypoint Detection using Prior Kinematic Knowledge
Speeding Up Optimization-based Motion Planning through Deep Learning
Impact of Training Set Size on the Ability of Deep Neural Networks to Deal with Omission Noise
Electric vehicle charging demand forecasting using deep learning model
Deep Architecture for Citywide Travel Time Estimation Incorporating Contextual Information
A cold-start-free reinforcement learning approach for traffic signal control
Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network