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 776–800 of 876 papers

TitleStatusHype
Generating and Exploiting Probabilistic Monocular Depth EstimatesCode0
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics—0
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation—0
Multimodal End-to-End Autonomous Driving—0
Monocular Depth Estimation Using Relative Depth Maps—0
Connecting the Dots: Learning Representations for Active Monocular Depth Estimation—0
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding ApproachCode0
Soft Labels for Ordinal Regression—0
Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth—0
Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation—0
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth EstimationCode0
Semi-Supervised Monocular Depth Estimation with Left-Right Consistency Using Deep Neural NetworkCode0
How do neural networks see depth in single images?—0
PhaseCam3D — Learning Phase Masks for Passive Single View Depth EstimationCode0
Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruningCode0
Monocular Depth Estimation with Directional Consistency by Deep Networks—0
3D Packing for Self-Supervised Monocular Depth EstimationCode1
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth EstimationCode0
A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation—0
Deep Optics for Monocular Depth Estimation and 3D Object Detection—0
Learning Single Camera Depth Estimation using Dual-PixelsCode0
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown CamerasCode0
Learning Across Tasks and DomainsCode0
Learning monocular depth estimation infusing traditional stereo knowledgeCode0
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth EstimationCode0
Show:102550
← PrevPage 32 of 36Next →

No leaderboard results yet.