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GRAMO: geometric resampling augmentation for monocular 3D object detection
Data augmentation is widely recognized as an effective means of bolstering model robustness. However, when applied to monocular 3D object detection,...
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Relative order constraint for monocular depth estimation
Monocular depth estimation, which is playing an increasingly important role in 3D scene understanding, has been attracting increasing attention in...
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DAGM-Mono: Deformable Attention-Guided Modeling for Monocular 3D Reconstruction
AbstractAccurate 3D pose estimation and shape reconstruction from monocular images is a challenging task in the field of autonomous driving. Our work...
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Monocular depth estimation via cross-spectral stereo information fusion
Although amount of works are focused on monocular depth estimation, these works mainly study on the RGB spectrum, which has a poor performance on the...
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Resolution-sensitive self-supervised monocular absolute depth estimation
Depth estimation is an essential component of computer vision applications for environment perception, 3D reconstruction and scene understanding....
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A laser-assisted depth detection method for underwater monocular vision
Underwater target three-dimensional detection is crucial for effectively recognizing and acquiring target information in complex water rings. The...
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A semantic-aware monocular projection model for accurate pose measurement
Monocular vision system is widely used in many fields due to its simple structure, faster speed, and lower cost for object measurement. However, most...
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Eliminating Scale Ambiguity of Unsupervised Monocular Visual Odometry
Scale ambiguity is a difficulty in monocular visual odometry. This challenge has not yet been well solved, regardless of whether it is a traditional...
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Multi-feature fusion enhanced monocular depth estimation with boundary awareness
Self-supervised monocular depth estimation has opened up exciting possibilities for practical applications, including scene understanding, object...
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Graph attention network-optimized dynamic monocular visual odometry
Monocular Visual Odometry (VO) is often formulated as a sequential dynamics problem that relies on scene rigidity assumption. One of the main...
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RAFT-MSF: Self-Supervised Monocular Scene Flow Using Recurrent Optimizer
A popular approach to estimate scene flow is to utilize point cloud data from various Lidar scans. However, there is little attention to learning 3D...
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Influence of Neural Network Receptive Field on Monocular Depth and Ego-Motion Estimation
AbstractWe present an analysis of a self-supervised learning approach for monocular depth and ego-motion estimation. This is an important problem for...
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Self-supervised neural network-based endoscopic monocular 3D reconstruction method
Based on deep learning, monocular visual 3D reconstruction methods have been applied in various conventional fields. In the aspect of medical...
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DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation
This paper aims to address the problem of supervised monocular depth estimation. We start with a meticulous pilot study to demonstrate that the...
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EMTNet: efficient mobile transformer network for real-time monocular depth estimation
Estimating depth from a single image presents a formidable challenge due to the inherently ill-posed and ambiguous nature of deriving depth...
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Chfnet: a coarse-to-fine hierarchical refinement model for monocular depth estimation
In recent years, many researchers have exploited multiple depth estimation architectures to produce high-quality depth maps from a single image. For...
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Robust monocular object pose tracking for large pose shift using 2D tracking
Monocular object pose tracking has been a key technology in autonomous rendezvous of two moving platforms. However, rapid relative motion between...
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Fast and intelligent measurement of concrete aggregate volume based on monocular vision map**
In order to prevent the abnormal appearance of gravel aggregate material level in the mixing plant, improve the safety of the concrete mixing plant...
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Towards Robust Monocular Depth Estimation: A New Baseline and Benchmark
Before deploying a monocular depth estimation (MDE) model in real-world applications such as autonomous driving, it is critical to understand its...
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Towards a Unified Network for Robust Monocular Depth Estimation: Network Architecture, Training Strategy and Dataset
Robust monocular depth estimation (MDE) aims at learning a unified model that works across diverse real-world scenes, which is an important and...
