HyperAI초신경
홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
전체 검색
소개
HyperAI초신경

Visual Place Recognition On Tokyo247

평가 지표

Recall@1

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
Recall@1
Paper TitleRepository
EigenPlaces93EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition
SelaVPR94.0Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
CosPlace82.2Rethinking Visual Geo-localization for Large-Scale Applications
Pair-VPR-s98.1Pair-VPR: Place-Aware Pre-training and Contrastive Pair Classification for Visual Place Recognition with Vision Transformers
ProGEO88.6ProGEO: Generating Prompts through Image-Text Contrastive Learning for Visual Geo-localization
EffoVPR98.7EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition-
BoQ98.1BoQ: A Place is Worth a Bag of Learnable Queries
CosPlace (ResNet-101 2048-D)-Rethinking Visual Geo-localization for Large-Scale Applications
GCL [trained only on MSLS]69.84Generalized Contrastive Optimization of Siamese Networks for Place Recognition
Patch-NetVLAD86Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
Pair-VPR-p100Pair-VPR: Place-Aware Pre-training and Contrastive Pair Classification for Visual Place Recognition with Vision Transformers
0 of 11 row(s) selected.