Laser & Optoelectronics Progress, Volume. 59, Issue 16, 1611002(2022)
Efficient Monocular Image Depth Estimation Based on Transfer Learning
Fig. 1. Model structure
Fig. 2. Encoder structure and encoding process
Fig. 3. Decoder structure and decoding process
Fig. 4. AdaBins module structure and processing process
Fig. 5. Prediction results of different models. (a) Input RGB images; (b) ground truth depth maps; (c) depth map predicted by model in literature [7]; (d) depth map predicted by model in literature [11]; (e) depth map predicted by proposed model
Fig. 6. Examples of proposed model generating a three-dimensional point cloud from a single RGB image
Fig. 7. Ablation study of different loss functions. (a) Comparison of using
Fig. 8. Ablation study of different encoders
Fig. 9. Ablation study of different initialization methods
Fig. 10. Ablation study of AdaBins module
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Jiatao Liu, Yaping Zhang, Yuwei Yang. Efficient Monocular Image Depth Estimation Based on Transfer Learning[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1611002
Category: Imaging Systems
Received: Jul. 30, 2021
Accepted: Sep. 24, 2021
Published Online: Aug. 8, 2022
The Author Email: Zhang Yaping (zhangyp@ynnu.edu.cn)