SOTAVerified

Monocular Depth Estimation

Monocular Depth Estimation is the task of estimating the depth value (distance relative to the camera) of each pixel given a single (monocular) RGB image. This challenging task is a key prerequisite for determining scene understanding for applications such as 3D scene reconstruction, autonomous driving, and AR. State-of-the-art methods usually fall into one of two categories: designing a complex network that is powerful enough to directly regress the depth map, or splitting the input into bins or windows to reduce computational complexity. The most popular benchmarks are the KITTI and NYUv2 datasets. Models are typically evaluated using RMSE or absolute relative error.

Source: Defocus Deblurring Using Dual-Pixel Data

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–275 of 876 papers

TitleStatusHype
Excavating the Potential Capacity of Self-Supervised Monocular Depth EstimationCode1
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor ScenesCode1
Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving ApplicationsCode1
Toward Practical Monocular Indoor Depth EstimationCode1
IEBins: Iterative Elastic Bins for Monocular Depth EstimationCode1
HSPFormer: Hierarchical Spatial Perception Transformer for Semantic SegmentationCode1
Attention Attention Everywhere: Monocular Depth Prediction with Skip AttentionCode1
Holopix50k: A Large-Scale In-the-wild Stereo Image DatasetCode1
Image Masking for Robust Self-Supervised Monocular Depth EstimationCode1
Gradient-based Uncertainty for Monocular Depth EstimationCode1
Cross-modal transformers for infrared and visible image fusionCode1
GroCo: Ground Constraint for Metric Self-Supervised Monocular DepthCode1
Atlantis: Enabling Underwater Depth Estimation with Stable DiffusionCode1
High Quality Monocular Depth Estimation via Transfer LearningCode1
CutDepth:Edge-aware Data Augmentation in Depth EstimationCode1
HR-Depth: High Resolution Self-Supervised Monocular Depth EstimationCode1
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetryCode1
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World AttacksCode1
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepthCode1
Guiding Monocular Depth Estimation Using Depth-Attention VolumeCode1
Implicit Integration of Superpixel Segmentation into Fully Convolutional NetworksCode1
Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised LearningCode1
DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation ModelCode1
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised TrainingCode1
Show:102550
← PrevPage 11 of 36Next →

No leaderboard results yet.