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Visual Localization is the problem of estimating the camera pose of a given image relative to a visual representation of a known scene.

Source: Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization

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Datasets

Greatest papers with code

From Coarse to Fine: Robust Hierarchical Localization at Large Scale

CVPR 2019 cvg/Hierarchical-Localization

In this paper we propose HF-Net, a hierarchical localization approach based on a monolithic CNN that simultaneously predicts local features and global descriptors for accurate 6-DoF localization.

AUTONOMOUS DRIVING VISUAL LOCALIZATION

Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphs

18 Jan 2021MIT-SPARK/Kimera

This mental model captures geometric and semantic aspects of the scene, describes the environment at multiple levels of abstractions (e. g., objects, rooms, buildings), includes static and dynamic entities and their relations (e. g., a person is in a room at a given time).

3D RECONSTRUCTION OBJECT LOCALIZATION SCENE PARSING VISUAL LOCALIZATION

Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

CVPR 2018 ethz-asl/hfnet

Visual localization enables autonomous vehicles to navigate in their surroundings and augmented reality applications to link virtual to real worlds.

AUTONOMOUS VEHICLES POSE ESTIMATION VISUAL LOCALIZATION

DSAC - Differentiable RANSAC for Camera Localization

CVPR 2017 cvlab-dresden/DSAC

The most promising approach is inspired by reinforcement learning, namely to replace the deterministic hypothesis selection by a probabilistic selection for which we can derive the expected loss w. r. t.

CAMERA LOCALIZATION VISUAL LOCALIZATION

Learning Less is More - 6D Camera Localization via 3D Surface Regression

CVPR 2018 vislearn/LessMore

Popular research areas like autonomous driving and augmented reality have renewed the interest in image-based camera localization.

CAMERA LOCALIZATION VISUAL LOCALIZATION

Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses

ICCV 2019 vislearn/ngransac

In contrast, we learn hypothesis search in a principled fashion that lets us optimize an arbitrary task loss during training, leading to large improvements on classic computer vision tasks.

CAMERA LOCALIZATION HORIZON LINE ESTIMATION VISUAL LOCALIZATION

OV$^{2}$SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications

8 Feb 2021ov2slam/ov2slam

Many applications of Visual SLAM, such as augmented reality, virtual reality, robotics or autonomous driving, require versatile, robust and precise solutions, most often with real-time capability.

AUTONOMOUS DRIVING MONOCULAR VISUAL ODOMETRY SIMULTANEOUS LOCALIZATION AND MAPPING VISUAL LOCALIZATION