Machine Learning Models: Using algorithms like neural networks and random forests, these models train prediction models from large samples of match data, gradually improving accuracy. This shift marks ...

*Equal Contribution. This work was done while Xiankang He was visiting Westlake University. We present Distill-Any-Depth, a new SOTA monocular depth estimation model trained with our proposed ...

Abstract: Addressing the challenges of weak texture and detail loss in predicted depth maps during the docking and mooring of unmanned surface vehicles (USVs) in marine environments, we propose a ...

Abstract: Monocular Depth Estimation (MDE) has emerged as a pivotal task in computer vision, supporting numerous real-world applications. However, deploying accurate depth estimation models on ...