Papers with Code 아카이브
Image-Based Localization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 4
- 보존된 평가 기록
- 26
Determining the location of an image without GPS based on cross-view matching. In most of the cases a database of satellite images is used to match the ground images to them.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities
SpaGBOL: Spatial-Graph-Based Orientated Localisation
BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation
Image-based Geolocalization by Ground-to-2.5D Map Matching
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials
End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization
Long-term Visual Localization with Mobile Sensors
CoPR: Towards Accurate Visual Localization With Continuous Place-descriptor Regression
Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation
Where We Are and What We're Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenes
TBPos: Dataset for Large-Scale Precision Visual Localization
Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization
CyberLoc: Towards Accurate Long-term Visual Localization
Privacy-Preserving Visual Localization with Event Cameras
Adversarial Attack Against Image-Based Localization Neural Networks
CVLNet: Cross-View Semantic Correspondence Learning for Video-based Camera Localization
TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization
Training Semantic Descriptors for Image-Based Localization
Fusing Convolutional Neural Network and Geometric Constraint for Image-based Indoor Localization
Digging Into Self-Supervised Learning of Feature Descriptors
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network
Real-time Geo-localization Using Satellite Imagery and Topography for Unmanned Aerial Vehicles
Aerial Map-Based Navigation Using Semantic Segmentation and Pattern Matching
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks
Calibrated and Partially Calibrated Semi-Generalized Homographies
VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval
P1AC: Revisiting Absolute Pose From a Single Affine Correspondence
DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based Localization
Domain-invariant Similarity Activation Map Contrastive Learning for Retrieval-based Long-term Visual Localization
Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization
Joint Visual and Wireless Signal Feature based Approach for High-Precision Indoor Localization
Combining Deep Learning with Geometric Features for Image based Localization in the Gastrointestinal Tract
University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization
Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization
Optimal Feature Transport for Cross-View Image Geo-Localization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.