Lightweight Optical Flow Estimation Using 1D Matching

Lightweight Optical Flow Estimation Using 1D Matching

Recent advancements in optical flow estimation have led to notable performance gains, driven by the adoption of transformer architectures, enhanced data augmentation, self-supervised learning techniques, the use of multiple video frames and iterative refinement of estimate optical flows. Nonetheless...

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Bibliographic Details
Main Authors: Wonyong Seo, Woonsung Park, Munchurl Kim
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
1D matching
MaxViT
optical flow estimation
lightweight optical flow estimation
positional embedding
transformer
Online Access:https://ieeexplore.ieee.org/document/10477999/

Internet

https://ieeexplore.ieee.org/document/10477999/

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