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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 381–390 of 741 papers

TitleStatusHype
Self-Supervised Camera Self-Calibration from Video—0
Self-Supervised Learning of Depth and Camera Motion from 360° Videos—0
Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals—0
Self-Supervised Learning of Perceptually Optimized Block Motion Estimates for Video Compression—0
Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling—0
Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging—0
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments—0
Semantic Nearest Neighbor Fields Monocular Edge Visual-Odometry—0
Semantics-Driven Unsupervised Learning for Monocular Depth and Ego-Motion Estimation—0
SENDD: Sparse Efficient Neural Depth and Deformation for Tissue Tracking—0
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