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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 501–510 of 741 papers

TitleStatusHype
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics—0
A data set providing synthetic and real-world fisheye video sequences—0
A Deeper Insight into the UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation—0
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data—0
A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions—0
AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation—0
A Fully-Connected Layered Model of Foreground and Background Flow—0
Agent Prioritization for Autonomous Navigation—0
A High-Speed, Real-Time Vision System for Texture Tracking and Thread Counting—0
A hybrid motion estimation technique for fisheye video sequences based on equisolid re-projection—0
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