https://github.com/ActiveVisionLab/LaLaLoc
공식 코드LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited Environments
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/AhmadArrabi/GPG2A
공식 코드Cross-View Meets Diffusion: Aerial Image Synthesis with Geometry and Text Guidance
https://github.com/Ahmedest61/CNN-Region-VLAD-VPR
공식 코드https://github.com/AliYoussef97/SuperPoint-PrP
공식 코드https://github.com/AnyLoc/AnyLoc
공식 코드https://github.com/ArashNasrEsfahani/Object-Rearrangement-in-Dynamic-Environments
공식 코드AI-Driven Relocation Tracking in Dynamic Kitchen Environments
https://github.com/BingJiaChen/few-shot-indoor-localization
공식 코드Few-Shot Transfer Learning for Device-Free Fingerprinting Indoor Localization
https://github.com/CV4RA/MambaPlace
공식 코드MambaPlace:Text-to-Point-Cloud Cross-Modal Place Recognition with Attention Mamba Mechanisms
https://github.com/FarInHeight/To-Match-or-Not-to-Match
공식 코드To Match or Not to Match: Revisiting Image Matching for Reliable Visual Place Recognition
https://github.com/GaoShuang98/DINO-Mix
공식 코드DINO-Mix: Enhancing Visual Place Recognition with Foundational Vision Model and Feature Mixing
https://github.com/HanjiangHu/DASGIL
공식 코드DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based Localization
https://github.com/Jeff-Zilence/VIGOR
공식 코드VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval
https://github.com/JuanDuGit/DH3D
공식 코드DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization
https://github.com/LRMPUT/FastABLE
공식 코드Real-Time Visual Place Recognition for Personal Localization on a Mobile Device
https://github.com/LRMPUT/FastABLE_Android
공식 코드Real-Time Visual Place Recognition for Personal Localization on a Mobile Device
https://github.com/Liumouliu/OriCNN
공식 코드Lending Orientation to Neural Networks for Cross-view Geo-localization
https://github.com/Lu-Feng/AANet
공식 코드https://github.com/Lu-Feng/STA-VPR
공식 코드STA-VPR: Spatio-temporal Alignment for Visual Place Recognition
https://github.com/Lu-Feng/SelaVPR
공식 코드Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
https://github.com/MubarizZaffar/VPR-Bench
공식 코드https://github.com/MultimodalGeo/GeoText-1652
공식 코드Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching
https://github.com/Nik-V9/HEAPUtil
공식 코드A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition
https://github.com/QVPR/Patch-NetVLAD
공식 코드Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
https://github.com/QVPR/aarapsiproject
공식 코드Improving Visual Place Recognition Based Robot Navigation By Verifying Localization Estimates
https://github.com/Relja/netvlad
공식 코드NetVLAD: CNN architecture for weakly supervised place recognition
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/Sachini/niloc
공식 코드https://github.com/Skyy93/Sample4Geo
공식 코드Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation
https://github.com/Tobias-Fischer/ensemble-event-vpr
공식 코드Event-based visual place recognition with ensembles of temporal windows
https://github.com/TouqeerAhmad/skyline_detection
공식 코드Resource Efficient Mountainous Skyline Extraction using Shallow Learning
https://github.com/UditSinghParihar/RoRD
공식 코드RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching
https://github.com/UsmanMaqbool/why-so-deep
공식 코드Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition
https://github.com/VedikaSrivastava/GeoMapper
공식 코드https://github.com/VicenteVivan/geo-clip
공식 코드https://github.com/XLechter/PCAN
공식 코드PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
https://github.com/Yan-Xia/SOE-Net
공식 코드SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.