https://github.com/mingu6/TopometricLoc
공식 코드Probabilistic Appearance-Invariant Topometric Localization with New Place Awareness
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/mingu6/declarativedtw
공식 코드Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
https://github.com/mistlab/vpr-calibration-and-uncertainty
공식 코드Self-Supervised Domain Calibration and Uncertainty Estimation for Place Recognition
https://github.com/mrazhou/seta
공식 코드https://github.com/mvrl/gomaa-geo
공식 코드https://github.com/nahshonmokua/EnviKal-Loc
공식 코드https://github.com/nahshonmokua/LoRaWAN-IndoorPathLossModeling-ML/blob/main/MLR%20(ANOVA%20%26%20SHADOW%20ANALYSIS).ipynb
공식 코드https://github.com/noraagah/-a-local-machine-learning-approach-for-fingerprint-based-indoor-localization
공식 코드A Local Machine Learning Approach for Fingerprint-based Indoor Localization
https://github.com/nubot-nudt/tscm
공식 코드TSCM: A Teacher-Student Model for Vision Place Recognition Using Cross-Metric Knowledge Distillation
https://github.com/nubot-nudt/ugna-vpr
공식 코드https://github.com/nuozimiaowu/Text4VPR
공식 코드https://github.com/openai/CLIP
공식 코드Learning Transferable Visual Models From Natural Language Supervision
https://github.com/opendatalab/urbench
공식 코드https://github.com/oravus/CoarseHash
공식 코드https://github.com/oravus/DeltaDescriptors
공식 코드Delta Descriptors: Change-Based Place Representation for Robust Visual Localization
https://github.com/oravus/lostX
공식 코드LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics
https://github.com/oravus/seqNet
공식 코드SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition
https://github.com/parthpk/cityguessr
공식 코드CityGuessr: City-Level Video Geo-Localization on a Global Scale
https://github.com/prbonn/simp
공식 코드Constructing Metric-Semantic Maps using Floor Plan Priors for Long-Term Indoor Localization
https://github.com/prime-slam/aero-vloc
공식 코드https://github.com/pro1944191/semanticalignnet
공식 코드A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching
https://github.com/pspachos/RSSI-Dataset-for-Indoor-Localization-Fingerprinting
공식 코드Memoryless Techniques and Wireless Technologies for Indoor Localization with the Internet of Things
https://github.com/pyc5714/re-trip
공식 코드RE-TRIP : Reflectivity Instance Augmented Triangle Descriptor for 3D Place Recognition
https://github.com/qvpr/vprsnn
공식 코드Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments
https://github.com/raktimgg/salsa
공식 코드SALSA: Swift Adaptive Lightweight Self-Attention for Enhanced LiDAR Place Recognition
https://github.com/rayguan97/crossloc3d
공식 코드https://github.com/rfonod/geo-trax
공식 코드Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery
https://github.com/robotvisionmu/odoviz
공식 코드https://github.com/saibr/iovpr
공식 코드https://github.com/serizba/cliquemining
공식 코드Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition
https://github.com/serizba/salad
공식 코드https://github.com/seyrankhademi/AmsterTime
공식 코드AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift
https://github.com/shenyanqing1105/ForestLPR-CVPR2025
공식 코드ForestLPR: LiDAR Place Recognition in Forests Attentioning Multiple BEV Density Images
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.