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Found 4 papers, 3 papers with code
Channel-Aware Distillation Transformer for Depth Estimation on Nano Drones
Autonomous navigation of drones using computer vision has achieved promising performance.
Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
Self-supervised monocular depth estimation that does not require ground truth for training has attracted attention in recent years.
Ranked #4 on
Unsupervised Monocular Depth Estimation
on KITTI-C
Monocular Depth Estimation
Unsupervised Monocular Depth Estimation
Self-supervised monocular depth estimation from oblique UAV videos
Monocular video frames are used for training the deep learning model which learns depth and pose information jointly through two different networks, one each for depth and pose.
Real-time Semantic Segmentation with Context Aggregation Network
With the increasing demand of autonomous systems, pixelwise semantic segmentation for visual scene understanding needs to be not only accurate but also efficient for potential real-time applications.
