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Monocular Depth Estimation

65 papers with code ยท Computer Vision
Subtask of Depth Estimation

The Monocular Depth Estimation is the task of estimating scene depth using a single image.

Source: Defocus Deblurring Using Dual-Pixel Data

Benchmarks

Latest papers without code

On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures

28 Jul 2020

Recent advances in generalized image understanding have seen a surge in the use of deep convolutional neural networks (CNN) across a broad range of image-based detection, classification and prediction tasks.

ACTION RECOGNITION IMAGE COMPRESSION MONOCULAR DEPTH ESTIMATION OBJECT DETECTION POSE ESTIMATION QUANTIZATION SEMANTIC SEGMENTATION VIDEO COMPRESSION

Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference & Application

23 Jul 2020

The former provides a way to generate large-scale accurate occlusion datasets while, based on the latter, we propose a novel method for task-independent pixel-level occlusion relationship estimation from single images.

MONOCULAR DEPTH ESTIMATION

Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets

22 Jul 2020

Monocular depth estimation plays a crucial role in 3D recognition and understanding.

MONOCULAR DEPTH ESTIMATION

P2D: a self-supervised method for depth estimation from polarimetry

15 Jul 2020

Monocular depth estimation is a recurring subject in the field of computer vision.

MONOCULAR DEPTH ESTIMATION

Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

14 Jul 2020

Self-supervised monocular depth estimation presents a powerful method to obtain 3D scene information from single camera images, which is trainable on arbitrary image sequences without requiring depth labels, e. g., from a LiDAR sensor.

MONOCULAR DEPTH ESTIMATION SEMANTIC SEGMENTATION

UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models

13 Jul 2020

To further illustrate the general applicability of the proposed framework, we apply it to wide-angle fisheye cameras with 190$^\circ$ horizontal field of view.

MONOCULAR DEPTH ESTIMATION VISUAL ODOMETRY

Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy

5 Jul 2020

In this paper, we propose a novel self-supervised monocular depth estimation to regularise the training of the semantic segmentation in knee arthroscopy.

MONOCULAR DEPTH ESTIMATION SEMANTIC SEGMENTATION

MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation

27 Jun 2020

To the best of our knowledge, this work is the first extremely lightweight neural network trained on monocular video sequences for real-time unsupervised monocular depth estimation, which opens up the possibility of implementing deep learning-based real-time unsupervised monocular depth prediction on low-cost embedded devices.

MONOCULAR DEPTH ESTIMATION

An Advert Creation System for 3D Product Placements

26 Jun 2020

Over the past decade, the evolution of video-sharing platforms has attracted a significant amount of investments on contextual advertising.

MONOCULAR DEPTH ESTIMATION SEMANTIC SEGMENTATION

Increased-Range Unsupervised Monocular Depth Estimation

23 Jun 2020

Small-baseline stereo pairs provide small depth range but handle occlusions well.

MONOCULAR DEPTH ESTIMATION