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/utiasSTARS/cat-net
공식 코드https://github.com/utiasSTARS/dpc-net
공식 코드https://github.com/utiasSTARS/matchable-image-transforms
공식 코드Learning Matchable Image Transformations for Long-term Metric Visual Localization
https://github.com/v-pnk/cadloc
공식 코드Visual Localization using Imperfect 3D Models from the Internet
https://github.com/vignywang/samfeat
공식 코드Segment Anything Model is a Good Teacher for Local Feature Learning
https://github.com/vislearn/LessMore
공식 코드Learning Less is More - 6D Camera Localization via 3D Surface Regression
https://github.com/vislearn/esac
공식 코드https://github.com/vislearn/ngransac
공식 코드Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
https://github.com/whu-usi3dv/osmloc
공식 코드https://github.com/wsakobe/cylindertag
공식 코드https://github.com/xuelunshen/gim
공식 코드GIM: Learning Generalizable Image Matcher From Internet Videos
https://github.com/yaolinli/deco
공식 코드DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models
https://github.com/yejunzhang/a2-gnn
공식 코드A2-GNN: Angle-Annular GNN for Visual Descriptor-free Camera Relocalization
https://github.com/yolish/multi-scene-pose-transformer
공식 코드Learning Multi-Scene Absolute Pose Regression with Transformers
https://github.com/yosungho/LineTR
공식 코드Line as a Visual Sentence: Context-aware Line Descriptor for Visual Localization
https://github.com/zijunli7/condo
공식 코드ConDo: Continual Domain Expansion for Absolute Pose Regression
https://github.com/zillow/laser
공식 코드https://github.com/zinsmatt/3D-Aware-Ellipses-for-Visual-Localization
공식 코드3D-Aware Ellipse Prediction for Object-Based Camera Pose Estimation
https://github.com/zju3dv/LoFTR
공식 코드LoFTR: Detector-Free Local Feature Matching with Transformers
https://github.com/zju3dv/OnePose
공식 코드https://github.com/zju3dv/VS-Net
공식 코드https://gitlab.com/confidence_painting/cpaint
공식 코드Soft Expectation and Deep Maximization for Image Feature Detection
https://gitlab.com/jboutell/tbpos
공식 코드TBPos: Dataset for Large-Scale Precision Visual Localization
https://github.com/Adelaide-AI-Group/G2D
https://github.com/Adelaide-AI-Group/MCVL
Visual Localization Under Appearance Change: Filtering Approaches
https://github.com/AwaleSajil/SuperGlue_Demo_Modified1
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/DeepMIALab/VirtualCapsuleEndoscopy
https://github.com/Golbstein/GlueStick-tensorflow/blob/main/gluestick.py
GlueStick: Robust Image Matching by Sticking Points and Lines Together
https://github.com/HajimeTaira/InLoc_demo
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis
https://github.com/HaoWen-Surrey/SemiDPF
Particle Filter Networks with Application to Visual Localization
https://github.com/HeatherJiaZG/SuperGlue-pytorch
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/JeeseongKim/SuperGlue
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/JiwonCocoder/-Joint-Learning-of-Feature-Extraction-and-Cost-Aggregation-for-Semantic-Matching
https://github.com/JiwonCocoder/matching1
https://github.com/KimSinjeong/CS492H_DeepClosestPoint
Deep Closest Point: Learning Representations for Point Cloud Registration
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.