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://bitbucket.org/unizg-fer-lamor/kittical
공식 코드Recalibrating the KITTI Dataset Camera Setup for Improved Odometry Accuracy
https://github.com/A3DV/VIRec
공식 코드https://github.com/AlexanderParkin/CASIA-SURF_CeFA
공식 코드https://github.com/B1ueber2y/TrianFlow
공식 코드Towards Better Generalization: Joint Depth-Pose Learning without PoseNet
https://github.com/BiDAlab/mEBAL
공식 코드mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level Estimation
https://github.com/CIFASIS/wganvo
공식 코드WGANVO: Monocular Visual Odometry based on Generative Adversarial Networks
https://github.com/CIRS-Girona/ecarla-scenes
공식 코드eCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction
https://github.com/CIRS-Girona/ewiz
공식 코드eCARLA-scenes: A synthetically generated dataset for event-based optical flow prediction
https://github.com/CapsuleEndoscope/EndoSLAM
공식 코드https://github.com/Davidzhangyuanhan/CelebA-Spoof
공식 코드CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
https://github.com/EnriqueSolarte/direct_360_FPE
공식 코드360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation
https://github.com/Faceplugin-ltd/FaceLivenessDetection-Android
공식 코드Generalized Face Liveness Detection via De-fake Face Generator
https://github.com/Garsonjw/AdvFAS
공식 코드AdvFAS: A robust face anti-spoofing framework against adversarial examples
https://github.com/Gradiant/bob.paper.icb2019.gradgpad
공식 코드Generalized Presentation Attack Detection: a face anti-spoofing evaluation proposal
https://github.com/HKUST-Aerial-Robotics/ESVO
공식 코드https://github.com/HKUST-Aerial-Robotics/VINS-Fusion
공식 코드A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors
https://github.com/Huangying-Zhan/DF-VO
공식 코드https://github.com/Huangying-Zhan/Depth-VO-Feat
공식 코드https://github.com/IF-A-CAT/LIR-LIVO
공식 코드https://github.com/IRVLab/so_dso_place_recognition
공식 코드A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR Descriptors
https://github.com/JDAI-CV/faceX-Zoo
공식 코드Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learning
https://github.com/JiawangBian/sc_depth_pl
공식 코드Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
https://github.com/KaimingHe/resnet-1k-layers
공식 코드https://github.com/MaaniGhaffari/cvo-rgbd
공식 코드https://github.com/MarvinChung/Orbeez-slam
공식 코드Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping
https://github.com/MightyChaos/LKVOLearner
공식 코드https://github.com/Mingpan/generative_map
공식 코드https://github.com/Pei-KaiHuang/AAAI25-SLIP
공식 코드SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining
https://github.com/Pei-KaiHuang/LDCformer_Ext
공식 코드Enhancing Learnable Descriptive Convolutional Vision Transformer for Face Anti-Spoofing
https://github.com/TRI-ML/KP2D
공식 코드Neural Outlier Rejection for Self-Supervised Keypoint Learning
https://github.com/TRI-ML/KP3D
공식 코드Self-Supervised 3D Keypoint Learning for Ego-motion Estimation
https://github.com/TRI-ML/packnet-sfm
공식 코드Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
https://github.com/Uehwan/SimVODIS
공식 코드SimVODIS: Simultaneous Visual Odometry, Object Detection, and Instance Segmentation
https://github.com/Usman1021/DLE
공식 코드Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing
https://github.com/VLOGroup/dvs-panotracking
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.