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Deep Monocular Video Depth Estimation Using Temporal Attention

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IEEE ICASSP 2020 Virtual Conference May 2020

Monocular video depth estimation (MVDE) plays a crucial role in 3D computer vision. In this paper, we propose an end-to-end monocular video depth estimation network based on temporal attention. Our network starts by a motion compensation module where the

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Deep Monocular Video Depth Estimation Using Temporal Attention

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Monocular video depth estimation (MVDE) plays a crucial role in 3D computer vision. In this paper, we propose an end-to-end monocular video depth estimation network based on temporal attention. Our network starts by a motion compensation module where the