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The Semantic Segmentation Of Remote Sensing Imagery
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite Imagery
Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice Monitoring
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine Learning
Lake Ice Monitoring with Webcams and Crowd-Sourced Images
Lake Ice Detection from Sentinel-1 SAR with Deep Learning
EarthMapper: A Tool Box for the Semantic Segmentation of Remote Sensing Imagery
Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.