https://github.com/haiyaoyu/RTT-Indoor-localization-data-set
공식 코드Floor-Plan-aided Indoor Localization: Zero-Shot Learning Framework, Data Sets, and Prototype
Papers with Code 아카이브
Visual Place Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 40
- 보존된 평가 기록
- 265
Visual Place Recognition is the task of matching a view of a place with a different view of the same place taken at a different time.
Source: Visual place recognition using landmark distribution descriptors
Image credit: Visual place recognition using landmark distribution descriptors
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/head-inthe-cloud/palms-indoor-localization
공식 코드PALMS: Plane-based Accessible Indoor Localization Using Mobile Smartphones
https://github.com/hku-mars/std
공식 코드https://github.com/hqitao/textinplace
공식 코드https://github.com/igmr-rwth/randt-slam
공식 코드RaNDT SLAM: Radar SLAM Based on Intensity-Augmented Normal Distributions Transform
https://github.com/ilaydayaman/luvira_dataset
공식 코드The LuViRA Dataset: Synchronized Vision, Radio, and Audio Sensors for Indoor Localization
https://github.com/intellhave/SublinearEncoding
공식 코드Large scale visual place recognition with sub-linear storage growth
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/ivipsourcecode/RaP-Net
공식 코드https://github.com/jac99/MinkLoc3D
공식 코드https://github.com/jac99/MinkLocMultimodal
공식 코드MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
https://github.com/jac99/minkloc3dv2
공식 코드Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
https://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/kamilzywanowski/minkloc3d-si
공식 코드https://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/lilin-hitcrt/SSC
공식 코드SSC: Semantic Scan Context for Large-Scale Place Recognition
https://github.com/lingli1996/georeasoner
공식 코드GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model
https://github.com/lu-feng/cricavpr
공식 코드CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition
https://github.com/lu-feng/dhe-vpr
공식 코드https://github.com/madhubabuv/NightDepthADFA
공식 코드https://github.com/magicleap/SuperGluePretrainedNetwork
공식 코드SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/manupillai308/garet
공식 코드GAReT: Cross-view Video Geolocalization with Adapters and Auto-Regressive Transformers
https://github.com/marialeyvallina/generalized_contrastive_loss
공식 코드Generalized Contrastive Optimization of Siamese Networks for Place Recognition
https://github.com/master-cai/voloc
공식 코드VOLoc: Visual Place Recognition by Querying Compressed Lidar Map
https://github.com/maverickpeter/vdisco
공식 코드Leveraging BEV Representation for 360-degree Visual Place Recognition
https://github.com/mchancan/citylearn
공식 코드CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning
https://github.com/mchancan/deepseqslam
공식 코드DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
https://github.com/medlartea/cae-vpr
공식 코드Condition-Invariant and Compact Visual Place Description by Convolutional Autoencoder
https://github.com/metaslam/alto
공식 코드ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and Localization
https://github.com/metra4ok/hpointloc
공식 코드HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D Images
https://github.com/mihaidusmanu/d2-net
공식 코드D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
https://github.com/mikacuy/pointnetvlad
공식 코드PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
https://github.com/mingu6/ProbFiltersVPR
공식 코드Probabilistic Visual Place Recognition for Hierarchical Localization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.