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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Geolocating Earth Imagery from ISS: Integrating Machine Learning with Astronaut Photography for Enhanced Geographic Mapping
Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
OpenStreetView-5M: The Many Roads to Global Visual Geolocation
GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
PIGEON: Predicting Image Geolocations
Where We Are and What We're Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenes
Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization
Where in the World is this Image? Transformer-based Geo-localization in the Wild
GeoWINE: Geolocation based Wiki, Image,News and Event Retrieval
Interpretable Semantic Photo Geolocation
CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps
Revisiting IM2GPS in the Deep Learning Era
PlaNet - Photo Geolocation with Convolutional Neural Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.