https://github.com/naver/kapture
공식 코드Robust Image Retrieval-based Visual Localization using Kapture
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Visual Localization is the problem of estimating the camera pose of a given image relative to a visual representation of a known scene.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Robust Image Retrieval-based Visual Localization using Kapture
Robust Image Retrieval-based Visual Localization using Kapture
RGB2LIDAR: Towards Solving Large-Scale Cross-Modal Visual Localization
Improving Feature-based Visual Localization by Geometry-Aided Matching
Delta Descriptors: Change-Based Place Representation for Robust Visual Localization
SeqNet: Learning Descriptors for Sequence-based Hierarchical Place Recognition
OV$^{2}$SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications
DKM: Dense Kernelized Feature Matching for Geometry Estimation
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential Information
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments
Visual Localization via Few-Shot Scene Region Classification
FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network
FUSELOC: Fusing Global and Local Descriptors to Disambiguate 2D-3D Matching in Visual Localization
FocusTune: Tuning Visual Localization through Focus-Guided Sampling
Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation
Shared Coupling-bridge for Weakly Supervised Local Feature Learning
Active propulsion noise shaping for multi-rotor aircraft localization
BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation
CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data
Learning to Produce Semi-dense Correspondences for Visual Localization
Understanding the Limitations of CNN-based Absolute Camera Pose Regression
Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis
SliceMatch: Geometry-guided Aggregation for Cross-View Pose Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.