Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation.
Ning ZhangFrancesco NexGeorge VosselmanNorman KerlePublished in: CoRR (2022)
Keyphrases
- lightweight
- depth estimation
- monocular images
- stereo vision
- depth map
- depth cues
- communication infrastructure
- depth perception
- stereo matching
- scene understanding
- model based pose estimation
- depth information
- image sequences
- depth estimates
- real scenes
- super resolution
- wireless sensor networks
- dynamic scenes
- stereo images
- stereo pair
- d scene
- pose estimation
- feature points
- input image
- viewpoint
- high quality