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Found 10 papers, 7 papers with code
Transformers in Unsupervised Structure-from-Motion
Transformers have revolutionized deep learning based computer vision with improved performance as well as robustness to natural corruptions and adversarial attacks.
Continual Learning of Unsupervised Monocular Depth from Videos
Spatial scene understanding, including monocular depth estimation, is an important problem in various applications, such as robotics and autonomous driving.
AI-Driven Road Maintenance Inspection v2: Reducing Data Dependency & Quantifying Road Damage
Road infrastructure maintenance inspection is typically a labor-intensive and critical task to ensure the safety of all road users.
Image Masking for Robust Self-Supervised Monocular Depth Estimation
Self-supervised monocular depth estimation is a salient task for 3D scene understanding.
Adversarial Attacks on Monocular Pose Estimation
While studies evaluating the impact of adversarial attacks on monocular depth estimation exist, a systematic demonstration and analysis of adversarial perturbations against pose estimation are lacking.
Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics
While recent works have compared transformers against their CNN counterparts for tasks such as image classification, no study exists that investigates the impact of using transformers for self-supervised monocular depth estimation.
Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth Estimation
Dense depth estimation is essential to scene-understanding for autonomous driving.
Practical Auto-Calibration for Spatial Scene-Understanding from Crowdsourced Dashcamera Videos
Here, we propose a system for practical monocular onboard camera auto-calibration from crowdsourced videos.
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning Approach
The ability to efficiently utilize crowdsourced visual data carries immense potential for the domains of large scale dynamic mapping and autonomous driving.
Monocular Vision based Crowdsourced 3D Traffic Sign Positioning with Unknown Camera Intrinsics and Distortion Coefficients
Crowdsourced mapping of these landmarks such as traffic sign positions provides an appealing alternative.
