https://github.com/cppcute-pm/RangeBEV
공식 코드Range and Bird's Eye View Fused Cross-Modal Visual Place Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Visual Place Recognition is the task of matching a view of a place with a different view of the same place taken at a different time.
Source: Visual place recognition using landmark distribution descriptors
Image credit: Visual place recognition using landmark distribution descriptors
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Range and Bird's Eye View Fused Cross-Modal Visual Place Recognition
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition
Place Recognition: A Comprehensive Review, Current Challenges and Future Directions
GlueStick: Robust Image Matching by Sticking Points and Lines Together
Visual Localization Under Appearance Change: Filtering Approaches
Vision-Based UAV Self-Positioning in Low-Altitude Urban Environments
A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization
Angle of Arrival and Centimeter Distance Estimation on a Smart UWB Sensor Node
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
LCD -- Line Clustering and Description for Place Recognition
Multi-modal Visual Place Recognition in Dynamics-Invariant Perception Space
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition
SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments
BEV$^2$PR: BEV-Enhanced Visual Place Recognition with Structural Cues
Divide&Classify: Fine-Grained Classification for City-Wide Visual Place Recognition
JIST: Joint Image and Sequence Training for Sequential Visual Place Recognition
CV-Cities: Advancing Cross-View Geo-Localization in Global Cities
Are Local Features All You Need for Cross-Domain Visual Place Recognition?
Joint Activity Recognition and Indoor Localization With WiFi Fingerprints
EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition
Rethinking Visual Geo-localization for Large-Scale Applications
EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition
Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models
SF-Loc: A Visual Mapping and Geo-Localization System based on Sparse Visual Structure Frames
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.