Visual Localization

138 papers with code • 5 benchmarks • 19 datasets

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


Use these libraries to find Visual Localization models and implementations

Most implemented papers

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition

mikacuy/pointnetvlad CVPR 2018

This is largely due to the difficulty in extracting local feature descriptors from a point cloud that can subsequently be encoded into a global descriptor for the retrieval task.

DSAC - Differentiable RANSAC for Camera Localization

cvlab-dresden/DSAC CVPR 2017

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.

Deep Closest Point: Learning Representations for Point Cloud Registration

WangYueFt/dcp ICCV 2019

To address local optima and other difficulties in the ICP pipeline, we propose a learning-based method, titled Deep Closest Point (DCP), inspired by recent techniques in computer vision and natural language processing.

LoFTR: Detector-Free Local Feature Matching with Transformers

zju3dv/LoFTR CVPR 2021

We present a novel method for local image feature matching.

BARF: Bundle-Adjusting Neural Radiance Fields

chenhsuanlin/bundle-adjusting-NeRF ICCV 2021

In this paper, we propose Bundle-Adjusting Neural Radiance Fields (BARF) for training NeRF from imperfect (or even unknown) camera poses -- the joint problem of learning neural 3D representations and registering camera frames.

Neighbourhood Consensus Networks

ignacio-rocco/ncnet NeurIPS 2018

Second, we demonstrate that the model can be trained effectively from weak supervision in the form of matching and non-matching image pairs without the need for costly manual annotation of point to point correspondences.

Visual Localization Under Appearance Change: Filtering Approaches

dadung/Visual-Localization-Filtering 20 Nov 2018

Our approaches rely on local features with an encoding technique to represent an image as a single vector.

From Coarse to Fine: Robust Hierarchical Localization at Large Scale

ethz-asl/hfnet CVPR 2019

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.

Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses

vislearn/ngransac ICCV 2019

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.

University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization

layumi/University1652-Baseline 27 Feb 2020

To our knowledge, University-1652 is the first drone-based geo-localization dataset and enables two new tasks, i. e., drone-view target localization and drone navigation.