Papers with Code 아카이브
Visual Localization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Visual Localization is the problem of estimating the camera pose of a given image relative to a visual representation of a known scene.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/goodproj13/DenserNet
공식 코드DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature Aggregation
https://github.com/google-research/google-research
공식 코드Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual localization
https://github.com/haksorus/gsplatloc
공식 코드https://github.com/hengli/camodocal
공식 코드https://github.com/intellisensing/uav-visloc
공식 코드UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization
https://github.com/ishikaalunawat/231aproj
공식 코드https://github.com/ivipsourcecode/RaP-Net
공식 코드https://github.com/jamycheung/matchformer
공식 코드MatchFormer: Interleaving Attention in Transformers for Feature Matching
https://github.com/jarvisyjw/gv-bench
공식 코드https://github.com/jenningsl/nerf-loc
공식 코드NeRF-Loc: Visual Localization with Conditional Neural Radiance Field
https://github.com/jmorlana/dran
공식 코드Reuse your features: unifying retrieval and feature-metric alignment
https://github.com/juanjo-cabrera/indoorlocalizationsinglecnn
공식 코드https://github.com/kaichen-z/vmloc
공식 코드VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization
https://github.com/kunalchelani/Line2Point
공식 코드How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D Lines
https://github.com/kunalchelani/objectpositioningfromposes
공식 코드Privacy-Preserving Representations are not Enough -- Recovering Scene Content from Camera Poses
https://github.com/lasuomela/carla_vloc_benchmark
공식 코드https://github.com/layumi/University1652-Baseline
공식 코드University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization
https://github.com/lcs0215/oraclefusion
공식 코드https://github.com/linyicheng1/orb_slam3_localization
공식 코드https://github.com/liw95/lightloc
공식 코드LightLoc: Learning Outdoor LiDAR Localization at Light Speed
https://github.com/longvideohaystack/tstar
공식 코드Re-thinking Temporal Search for Long-Form Video Understanding
https://github.com/lyp-deeplearning/liftfeat
공식 코드https://github.com/magicleap/SuperGluePretrainedNetwork
공식 코드SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/marcosalfaro/tripletnetworksindoorlocalization
공식 코드Hierarchical localization with panoramic views and triplet loss functions
https://github.com/marialeyvallina/generalized_contrastive_loss
공식 코드Data-efficient Large Scale Place Recognition with Graded Similarity Supervision
https://github.com/maunzzz/fine-grained-segmentation-networks
공식 코드https://github.com/mchancan/citylearn
공식 코드MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation
https://github.com/mchancan/deepseqslam
공식 코드DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
https://github.com/menelaoskanakis/zippypoint
공식 코드https://github.com/mihaidusmanu/cross-descriptor-vis-loc-map
공식 코드https://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
https://github.com/minnjung/ep2p-loc
공식 코드EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization
https://github.com/mohwald/gandtr
공식 코드Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning
https://github.com/mooncake199809/ufvl-net
공식 코드OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.