Papers with Code 아카이브
Visual Odometry
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Visual Odometry is an important area of information fusion in which the central aim is to estimate the pose of a robot using data collected by visual sensors.
Source: Bi-objective Optimization for Robust RGB-D Visual Odometry
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hkashyap/SparseMotion
공식 코드Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes
https://github.com/hku-mars/fast-livo2
공식 코드https://github.com/hlzz/DeepMatchVO
공식 코드Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation
https://github.com/htkseason/VOLDOR
공식 코드VOLDOR: Visual Odometry from Log-logistic Dense Optical flow Residuals
https://github.com/jiawei-mo/3d_place_recognition
공식 코드A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR Descriptors
https://github.com/jiawei-mo/scale_optimization
공식 코드Extending Monocular Visual Odometry to Stereo Camera Systems by Scale Optimization
https://github.com/jixingwu/sol-slam
공식 코드An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open World
https://github.com/johnsonlc/motionhint
공식 코드MotionHint: Self-Supervised Monocular Visual Odometry with Motion Constraints
https://github.com/koushiksrivats/flip
공식 코드FLIP: Cross-domain Face Anti-spoofing with Language Guidance
https://github.com/kunkunlin1221/InstructFLIP
공식 코드InstructFLIP: Exploring Unified Vision-Language Model for Face Anti-spoofing
https://github.com/laiyingxin2/shield
공식 코드https://github.com/leminhbinh0209/cvpr24-fas
공식 코드https://github.com/liudaqikk/RobotEvt
공식 코드https://github.com/liudaqikk/STR-event
공식 코드https://github.com/lmb-freiburg/sf2se3
공식 코드SF2SE3: Clustering Scene Flow into SE(3)-Motions via Proposal and Selection
https://github.com/luigifreda/pyslam
공식 코드pySLAM: An Open-Source, Modular, and Extensible Framework for SLAM
https://github.com/lustoo/fghv
공식 코드Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing
https://github.com/maanighaffari/c-sensor-registration
공식 코드https://github.com/master-cai/voloc
공식 코드VOLoc: Visual Place Recognition by Querying Compressed Lidar Map
https://github.com/mchancan/citylearn
공식 코드Robot Perception enables Complex Navigation Behavior via Self-Supervised Learning
https://github.com/memmelma/vo-transformer
공식 코드https://github.com/metaslam/alto
공식 코드ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and Localization
https://github.com/mpdmanash/thermal_photometric_calibration
공식 코드Online Photometric Calibration of Automatic Gain Thermal Infrared Cameras
https://github.com/murinj/big-moe
공식 코드BIG-MoE: Bypass Isolated Gating MoE for Generalized Multimodal Face Anti-Spoofing
https://github.com/murphytju/difffas
공식 코드https://github.com/nail-hnu/esvio_aa
공식 코드https://github.com/nail-hnu/esvo2
공식 코드ESVO2: Direct Visual-Inertial Odometry with Stereo Event Cameras
https://github.com/naver/must3r
공식 코드https://github.com/navganti/SIVO
공식 코드Network Uncertainty Informed Semantic Feature Selection for Visual SLAM
https://github.com/omggggg/mmdg
공식 코드Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-Spoofing
https://github.com/ov2slam/ov2slam
공식 코드OV$^{2}$SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications
https://github.com/patchadversarialattacks/patchadversarialattacks
공식 코드Physical Passive Patch Adversarial Attacks on Visual Odometry Systems
https://github.com/pedropro/CAPE
공식 코드Fast Cylinder and Plane Extraction from Depth Cameras for Visual Odometry
https://github.com/pedropro/OMG_Depth_Fusion
공식 코드Probabilistic RGB-D Odometry based on Points, Lines and Planes Under Depth Uncertainty
https://github.com/prgumd/SalientDSO
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.