https://github.com/AhmadArrabi/GPG2A
공식 코드Cross-View Meets Diffusion: Aerial Image Synthesis with Geometry and Text Guidance
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/Jeff-Zilence/VIGOR
공식 코드VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval
https://github.com/Liumouliu/OriCNN
공식 코드Lending Orientation to Neural Networks for Cross-view Geo-localization
https://github.com/MultimodalGeo/GeoText-1652
공식 코드Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching
https://github.com/Reza-Zhu/SUES-200-Benchmark
공식 코드SUES-200: A Multi-height Multi-scene Cross-view Image Benchmark Across Drone and Satellite
https://github.com/TouqeerAhmad/skyline_detection
공식 코드Resource Efficient Mountainous Skyline Extraction using Shallow Learning
https://github.com/VedikaSrivastava/GeoMapper
공식 코드https://github.com/VicenteVivan/geo-clip
공식 코드https://github.com/YanLiqi/HAF
공식 코드https://github.com/Yux1angJi/GTA-UAV
공식 코드https://github.com/ZelongZeng/PLCD
공식 코드Geo-Localization via Ground-to-Satellite Cross-View Image Retrieval
https://github.com/arplaboratory/STHN
공식 코드STHN: Deep Homography Estimation for UAV Thermal Geo-localization with Satellite Imagery
https://github.com/arplaboratory/UASTHN
공식 코드UASTHN: Uncertainty-Aware Deep Homography Estimation for UAV Satellite-Thermal Geo-localization
https://github.com/arplaboratory/satellite-thermal-geo-localization
공식 코드Long-range UAV Thermal Geo-localization with Satellite Imagery
https://github.com/arplaboratory/vg_ssl
공식 코드VG-SSL: Benchmarking Self-supervised Representation Learning Approaches for Visual Geo-localization
https://github.com/c-water/sdpl_release
공식 코드SDPL: Shifting-Dense Partition Learning for UAV-View Geo-Localization
https://github.com/chain-mao/progeo
공식 코드ProGEO: Generating Prompts through Image-Text Contrastive Learning for Visual Geo-localization
https://github.com/dmmm1997/denseuav
공식 코드Vision-Based UAV Self-Positioning in Low-Altitude Urban Environments
https://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/gmberton/cosplace
공식 코드Rethinking Visual Geo-localization for Large-Scale Applications
https://github.com/gmberton/deep-visual-geo-localization-benchmark
공식 코드https://github.com/google-research/big_vision
공식 코드No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models
https://github.com/great-whu/sf-loc
공식 코드SF-Loc: A Visual Mapping and Geo-Localization System based on Sparse Visual Structure Frames
https://github.com/ischenawei/dmnil
공식 코드Without Paired Labeled Data: An End-to-End Self-Supervised Paradigm for UAV-View Geo-Localization
https://github.com/ischenawei/mean
공식 코드https://github.com/jeff-zilence/transgeo2022
공식 코드TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization
https://github.com/k4tel/geo-twitter
공식 코드Predicting the Geolocation of Tweets Using transformer models on Customized Data
https://github.com/layumi/University1652-Baseline
공식 코드University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization
https://github.com/liguopeng0923/ucvgl
공식 코드Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization
https://github.com/lingli1996/georeasoner
공식 코드GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model
https://github.com/manupillai308/garet
공식 코드GAReT: Cross-view Video Geolocalization with Adapters and Auto-Regressive Transformers
https://github.com/mrazhou/seta
공식 코드https://github.com/mvrl/gomaa-geo
공식 코드https://github.com/openai/CLIP
공식 코드Learning Transferable Visual Models From Natural Language Supervision
https://github.com/opendatalab/urbench
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.