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
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
InstructFLIP: Exploring Unified Vision-Language Model for Face Anti-spoofing
Multi-Modal Face Anti-Spoofing via Cross-Modal Feature Transitions
UFM: A Simple Path towards Unified Dense Correspondence with Flow
ZeroVO: Visual Odometry with Minimal Assumptions
cuVSLAM: CUDA accelerated visual odometry and mapping
Leveraging Intermediate Features of Vision Transformer for Face Anti-Spoofing
eStonefish-scenes: A synthetically generated dataset for underwater event-based optical flow prediction tasks
Structureless VIO
FaceShield: Explainable Face Anti-Spoofing with Multimodal Large Language Models
Denoising and Alignment: Rethinking Domain Generalization for Multimodal Face Anti-Spoofing
Learning Unknown Spoof Prompts for Generalized Face Anti-Spoofing Using Only Real Face Images
SafeNav: Safe Path Navigation using Landmark Based Localization in a GPS-denied Environment
Large-scale visual SLAM for in-the-wild videos
An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open World
Generative Classifier for Domain Generalization
MonoGS++: Fast and Accurate Monocular RGB Gaussian SLAM
ForestVO: Enhancing Visual Odometry in Forest Environments through ForestGlue
Unsupervised Feature Disentanglement and Augmentation Network for One-class Face Anti-spoofing
Enhancing Learnable Descriptive Convolutional Vision Transformer for Face Anti-Spoofing
Towards Mobile Sensing with Event Cameras on High-agility Resource-constrained Devices: A Survey
Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing
Incorporating GNSS Information with LIDAR-Inertial Odometry for Accurate Land-Vehicle Localization
Scene-agnostic Pose Regression for Visual Localization
SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes
MarsLGPR: Mars Rover Localization with Ground Penetrating Radar
MUSt3R: Multi-view Network for Stereo 3D Reconstruction
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing
SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images
pySLAM: An Open-Source, Modular, and Extensible Framework for SLAM
Vision-based Geo-Localization of Future Mars Rotorcraft in Challenging Illumination Conditions
LIR-LIVO: A Lightweight,Robust LiDAR/Vision/Inertial Odometry with Illumination-Resilient Deep Features
Extended monocular 3D imaging
BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module
FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.