https://github.com/LeegoChen/PTC-Net
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
Papers with Code 아카이브
Visual Localization
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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/Linghao-Yang/Road-Map-SLAM
RoadMap: A Light-Weight Semantic Map for Visual Localization towards Autonomous Driving
https://github.com/MIT-SPARK/Kimera-VIO
Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene Graphs
https://github.com/MQ66/gnerf
https://github.com/MindSpore-scientific/code-14/tree/main/S2DNet-Minimal
S2DNet: Learning Accurate Correspondences for Sparse-to-Dense Feature Matching
https://github.com/MindSpore-scientific/code-5/tree/main/S2DNet-Minimal
S2DNet: Learning Accurate Correspondences for Sparse-to-Dense Feature Matching
https://github.com/Nik-V9/HEAPUtil
Hierarchical Multi-Process Fusion for Visual Place Recognition
https://github.com/PSYZ1234/PosePN
https://github.com/RPL-CS-UCL/litevloc_code
LiteVLoc: Map-Lite Visual Localization for Image Goal Navigation
https://github.com/TOPO-EPFL/CrossLoc-Benchmark-Datasets
CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data
https://github.com/Thinklab-SJTU/PCA-GM
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/Thinklab-SJTU/ThinkMatch
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/antonbrazhnyi/AdaLAM
https://github.com/borglab/gtsfm
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/brandon3964/multimodal-task-vector
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
https://github.com/calipos/SuperGlue_NCNN
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/catta202000/CMRNet
CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps
https://github.com/cattaneod/CMRNet
CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps
https://github.com/cavalli1234/AdaLAM
https://github.com/chengricky/PanoramicScenePlaceRecognition
https://github.com/csiro-robotics/incloud
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
https://github.com/csiro-robotics/uncertainty-lpr
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
https://github.com/cvg/Hierarchical-Localization
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
https://github.com/dadung/G2D
https://github.com/dadung/MCVL
Visual Localization Under Appearance Change: Filtering Approaches
https://github.com/decayale/vlocnet
Deep Auxiliary Learning for Visual Localization and Odometry
https://github.com/fabio-sim/DeDoDe-ONNX-TensorRT
LoFTR: Detector-Free Local Feature Matching with Transformers
https://github.com/fabio-sim/LightGlue-ONNX
https://github.com/feixue94/pram
PRAM: Place Recognition Anywhere Model for Efficient Visual Localization
https://github.com/germain-hug/S2DNet-Minimal
S2DNet: Learning Accurate Correspondences for Sparse-to-Dense Feature Matching
https://github.com/gmberton/VPR-datasets-downloader
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
https://github.com/gmberton/VPR-methods-evaluation
https://github.com/gmberton/auto_vpr
https://github.com/gouthamvgk/SuperGlue_training
SuperGlue: Learning Feature Matching with Graph Neural Networks
https://github.com/gujingxiao/BaiduStar2020-Traffic-Sign-Detection-And-Pair-Competition-Solution
https://github.com/huggingface/transformers
SuperGlue: Learning Feature Matching with Graph Neural Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.