DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium
Author:
Affiliation:
1. Mechatronics, Systems, and Control Laboratory
2. Korea Advanced Institute of Science and Technology (KAIST),Vehicular Systems Design and Control Lab,Republic of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203533.pdf?arnumber=10203533
Reference108 articles.
1. Neural RGB®D Sensing: Depth and Uncertainty From a Video Camera
2. Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
3. Occlusion-Aware Depth Estimation with Adaptive Normal Constraints
4. MegaDepth: Learning Single-View Depth Prediction from Internet Photos
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1. SLAM Based on Camera-2D LiDAR Fusion;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
2. MAL: Motion-Aware Loss with Temporal and Distillation Hints for Self-Supervised Depth Estimation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
3. SC-DepthV3: Robust Self-Supervised Monocular Depth Estimation for Dynamic Scenes;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-01
4. Self-Supervised Monocular Depth Estimation With Positional Shift Depth Variance and Adaptive Disparity Quantization;IEEE Transactions on Image Processing;2024
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