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Motion Estimation

Motion Estimation is used to determine the block-wise or pixel-wise motion vectors between two frames.

Source: MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement

Papers

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Showing 371–380 of 741 papers

TitleStatusHype
Error-Aware Spatial Ensembles for Video Frame Interpolation—0
Deep Statistic Shape Model for Myocardium Segmentation—0
USegScene: Unsupervised Learning of Depth, Optical Flow and Ego-Motion with Semantic Guidance and Coupled Networks—0
Ego-motion Estimation Based on Fusion of Images and EventsCode0
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks—0
SearchMorph:Multi-scale Correlation Iterative Network for Deformable Registration—0
AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation—0
Motion Estimation for Large Displacements and Deformations—0
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction—0
Unsupervised inter-frame motion correction for whole-body dynamic PET using convolutional long short-term memory in a convolutional neural network—0
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