https://github.com/parthpk/cityguessr
공식 코드CityGuessr: City-Level Video Geo-Localization on a Global Scale
Papers with Code 아카이브
geo-localization
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/pro1944191/semanticalignnet
공식 코드A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching
https://github.com/rfonod/geo-trax
공식 코드Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery
https://github.com/shiyujiao/cross_view_localization_CVFT
공식 코드Optimal Feature Transport for Cross-View Image Geo-Localization
https://github.com/shiyujiao/cross_view_localization_DSM
공식 코드Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching
https://github.com/shiyujiao/ibl
공식 코드Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching
https://github.com/shramanpramanick/transformer_based_geo-localization
공식 코드Where in the World is this Image? Transformer-based Geo-localization in the Wild
https://github.com/sparrowzheyuan18/navig
공식 코드NAVIG: Natural Language-guided Analysis with Vision Language Models for Image Geo-localization
https://github.com/summerpanking/cvsat
공식 코드Cross-View Geo-Localization with Street-View and VHR Satellite Imagery in Decentrality Settings
https://github.com/summerpanking/dress
공식 코드Cross-View Geo-Localization with Street-View and VHR Satellite Imagery in Decentrality Settings
https://github.com/svyas23/gama
공식 코드https://github.com/tavisshore/BEV-CV
공식 코드BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation
https://github.com/tavisshore/PEnG
공식 코드https://github.com/tavisshore/SpaGBOL
공식 코드https://github.com/tensorflow/tensorflow/blob/v2.4.1/tensorflow/python/keras/applications/mobilenet.py
공식 코드MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/thorin215/gre
공식 코드https://github.com/tyz1030/croscalerep
공식 코드Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization
https://github.com/wtyhub/LPN
공식 코드Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization
https://github.com/wtyhub/MuseNet
공식 코드Multiple-environment Self-adaptive Network for Aerial-view Geo-localization
https://github.com/xlwangdev/hc-net
공식 코드Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator
https://github.com/yanghongji2007/saig
공식 코드Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization
https://github.com/yejy53/ep-bev
공식 코드Cross-view image geo-localization with Panorama-BEV Co-Retrieval Network
https://github.com/zheyangh/ocgnet
공식 코드Object-level Cross-view Geo-localization with Location Enhancement and Multi-Head Cross Attention
https://gitlab.com/vail-uvm/geodtr
공식 코드Cross-view Geo-localization via Learning Disentangled Geometric Layout Correspondence
https://gitlab.com/vail-uvm/geodtr_plus
공식 코드GeoDTR+: Toward generic cross-view geolocalization via geometric disentanglement
https://gitlab.com/vail-uvm/seqgeo
공식 코드https://github.com/0xPr0xy/CoreML
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/0xPr0xy/MobileNet-CoreML
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/2023-MindSpore-1/ms-code-176
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/2023-MindSpore-4/Code12/tree/main/MindFormers/clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/2023-MindSpore-4/Code12/tree/main/d2l/chapter_06_convolutional-neural-networks
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/2023-MindSpore-4/Code12/tree/main/d2l/chapter_07_convolutional-modern
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/2023-MindSpore-4/Code9/tree/main/MobileNet
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/2024-MindSpore-1/Code4/tree/main/MobileNet/mobilenetv1
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/AndresPMD/Clip_CMR
Learning Transferable Visual Models From Natural Language Supervision
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.