Attention-CARU With Texture-Temporal Network for Video Depth Estimation
Video depth estimation has a wide range of applications, especially in the tasks of robot navigation and autonomous driving. RNN-based encoder-decoder architectures are the most commonly used methods for depth feature prediction, but recurrent operators have limitations of large-scale perspective fr...
| Published in: | IEEE Access |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11034974/ |