https://github.com/Skyy93/Sample4Geo
공식 코드Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation
Papers with Code 아카이브
Drone-view target localization
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(Drone -> Satellite) Given one drone-view image or video, the task aims to find the most similar satellite-view image to localize the target building in the satellite view.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Xuanmeng-Zhang/gnn-re-ranking
공식 코드Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective
https://github.com/Yux1angJi/GTA-UAV
공식 코드https://github.com/dmmm1997/fsra
공식 코드A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization
https://github.com/gaoshuang98/cvcities
공식 코드CV-Cities: Advancing Cross-View Geo-Localization in Global Cities
https://github.com/layumi/University1652-Baseline
공식 코드University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization
https://github.com/wtyhub/LPN
공식 코드Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization
https://github.com/AggMan96/RK-Net
https://github.com/layumi/AICIty-reID-2020
University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization
https://github.com/zfcui33/CCA
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.