Lite-Mono: A Solution for Efficient Single-View Depth Estimation

This paper, published in CVPR 2023, introduces Lite-Mono, a lightweight architecture combining CNN and Transformer models for accurate and efficient single-view depth estimation. It presents a novel approach to address the challenges in depth estimation from a single image, achieving state-of-the-art performance on various benchmark datasets.