https://github.com/ahmedest61/vlad-buff
공식 코드VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place Recognition
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.
VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place Recognition
Distillation Improves Visual Place Recognition for Low Quality Images
A-SCoRe: Attention-based Scene Coordinate Regression for wide-ranging scenarios
D2S: Representing sparse descriptors and 3D coordinates for camera relocalization
Leveraging Neural Radiance Field in Descriptor Synthesis for Keypoints Scene Coordinate Regression
Representing 3D sparse map points and lines for camera relocalization
Multicam-SLAM: Non-overlapping Multi-camera SLAM for Indirect Visual Localization and Navigation
GSV-Cities: Toward Appropriate Supervised Visual Place Recognition
Image-Based Relocalization and Alignment for Long-Term Monitoring of Dynamic Underwater Environments
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training
Render-and-Compare: Cross-View 6 DoF Localization from Noisy Prior
Eiffel Tower: A Deep-Sea Underwater Dataset for Long-Term Visual Localization
GeoCalib: Learning Single-image Calibration with Geometric Optimization
GlueStick: Robust Image Matching by Sticking Points and Lines Together
R-SCoRe: Revisiting Scene Coordinate Regression for Robust Large-Scale Visual Localization
Visual Localization Under Appearance Change: Filtering Approaches
Optimizing Fiducial Marker Placement for Improved Visual Localization
A Probabilistic Framework for Visual Localization in Ambiguous Scenes
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization
Improving Transformer-based Image Matching by Cascaded Capturing Spatially Informative Keypoints
OrienterNet: Visual Localization in 2D Public Maps with Neural Matching
SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.