https://github.com/UditSinghParihar/d2-net
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
Papers with Code 아카이브
Indoor Localization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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Indoor localization is a fundamental problem in indoor location-based applications.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Williamwenda/UWB_TDOA_dataset
https://github.com/ayusefi/Localization-Papers
Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network
https://github.com/danishgufran/FedHIL
https://github.com/geekfeiw/ARIL
Joint Activity Recognition and Indoor Localization With WiFi Fingerprints
https://github.com/kyeongsoo/indoor_localization
Low-effort place recognition with WiFi fingerprints using deep learning
https://github.com/naver/kapture
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
https://github.com/nikola310/indoor-localization
Semi-supervised Deep Reinforcement Learning in Support of IoT and Smart City Services
https://github.com/sldai/WiFi_localization
https://github.com/visinf/cad
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
https://github.com/vohoaiviet/indoor_localization
Low-effort place recognition with WiFi fingerprints using deep learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.