https://github.com/shramanpramanick/transformer_based_geo-localization
공식 코드Where in the World is this Image? Transformer-based Geo-localization in the Wild
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/sijieaaa/distilvpr
공식 코드DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition
https://github.com/slothfulxtx/TransLoc3D
공식 코드TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields
https://github.com/sparrowzheyuan18/navig
공식 코드NAVIG: Natural Language-guided Analysis with Vision Language Models for Image Geo-localization
https://github.com/stevezhuo/fis-one
공식 코드FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals
https://github.com/stschubert/vpr_tutorial
공식 코드https://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/syqlyx/StructVPR
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/tiev-tongji/spatio-temporal-seqvpr
공식 코드Learning Sequence Descriptor based on Spatio-Temporal Attention for Visual Place Recognition
https://github.com/tobias-fischer/sparse-event-vpr
공식 코드How Many Events do You Need? Event-based Visual Place Recognition Using Sparse But Varying Pixels
https://github.com/tong-jin01/edtformer
공식 코드EDTformer: An Efficient Decoder Transformer for Visual Place Recognition
https://github.com/tyz1030/croscalerep
공식 코드Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization
https://github.com/uzh-rpg/dslam_open
공식 코드Efficient Decentralized Visual Place Recognition From Full-Image Descriptors
https://github.com/valeriopaolicelli/AdAGeo
공식 코드Adaptive-Attentive Geolocalization from few queries: a hybrid approach
https://github.com/valeriopaolicelli/SegVPR
공식 코드Learning Semantics for Visual Place Recognition through Multi-Scale Attention
https://github.com/valeriopaolicelli/adageo-WACV2021
공식 코드Adaptive-Attentive Geolocalization from few queries: a hybrid approach
https://github.com/vandal-vpr/vg-transformers
공식 코드Learning Sequential Descriptors for Sequence-based Visual Place Recognition
https://github.com/vignywang/mtldesc
공식 코드https://github.com/weitong8591/vop
공식 코드Breaking the Frame: Visual Place Recognition by Overlap Prediction
https://github.com/wh200720041/SRLCD
공식 코드Online Visual Place Recognition via Saliency Re-identification
https://github.com/woo-soojin/context-based-vlpr
공식 코드https://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/zafirshi/panovpr
공식 코드https://github.com/zhang-xie/wimuse
공식 코드https://github.com/zheyangh/ocgnet
공식 코드Object-level Cross-view Geo-localization with Location Enhancement and Multi-Head Cross Attention
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.