https://github.com/WindQingYang/PipeNet
공식 코드PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-Spoofing
Papers with Code 아카이브
Visual Odometry
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 보존된 평가 기록
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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/ZamDimon/liveness-detection
공식 코드Cross-Database Liveness Detection: Insights from Comparative Biometric Analysis
https://github.com/ZikangYuan/sr_livo
공식 코드SR-LIVO: LiDAR-Inertial-Visual Odometry and Mapping with Sweep Reconstruction
https://github.com/ZitongYu/CDCN
공식 코드Searching Central Difference Convolutional Networks for Face Anti-Spoofing
https://github.com/ZitongYu/DeepFAS
공식 코드https://github.com/aerialroboticsgroup/forest-vo
공식 코드ForestVO: Enhancing Visual Odometry in Forest Environments through ForestGlue
https://github.com/ai-application-and-integration-lab/dgua_fas
공식 코드https://github.com/alexandervakhitov/sego-paper-code
공식 코드https://github.com/anjith2006/bob.paper.cross_modal_focal_loss_cvpr2021
공식 코드https://github.com/anjith2006/bob.paper.deep_pix_bis_pad.icb2019
공식 코드Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
https://github.com/anjith2006/bob.paper.ijcb2021_vision_transformer_pad
공식 코드On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing
https://github.com/ankurhanda/gvnn
공식 코드https://github.com/aofrancani/dpt-vo
공식 코드Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry
https://github.com/aofrancani/tsformer-vo
공식 코드Transformer-Based Model for Monocular Visual Odometry: A Video Understanding Approach
https://github.com/bachzz/wflow-tartanvo
공식 코드https://github.com/banafshebamdad/InCrowd-VI
공식 코드https://github.com/bertabescos/EmptyCities_SLAM
공식 코드Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAM
https://github.com/castacks/tartanair_tools
공식 코드https://github.com/castacks/tartanvo
공식 코드https://github.com/chaochao-lin/atr-fas
공식 코드Enhancing Mobile Face Anti-Spoofing: A Robust Framework for Diverse Attack Types under Screen Flash
https://github.com/chelsea234/multi-domain-learning-fas
공식 코드Multi-domain Learning for Updating Face Anti-spoofing Models
https://github.com/chenqikong/m3fas
공식 코드M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System
https://github.com/clks-wzz/FAS-SGTD
공식 코드Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
https://github.com/clks-wzz/epcr
공식 코드https://github.com/deepinsight/insightface/tree/master/challenges/cvpr23-fas-wild
공식 코드Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results
https://github.com/dlr-rm/granite
공식 코드Towards Robust Monocular Visual Odometry for Flying Robots on Planetary Missions
https://github.com/elnino9ykl/DS-PASS
공식 코드https://github.com/eric-yyjau/pytorch-deepFEPE
공식 코드Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints
https://github.com/ethz-asl/kalibr
공식 코드https://github.com/facebookresearch/relative_pose_dataset
공식 코드https://github.com/facebookresearch/silk
공식 코드https://github.com/flysoaryun/lf-vio
공식 코드LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative Plane
https://github.com/geniussh/dytanvo
공식 코드DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic Environments
https://github.com/gowanting/nhevo
공식 코드Event-Based Visual Odometry on Non-Holonomic Ground Vehicles
https://github.com/gurayozgur/foundpad
공식 코드FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection
https://github.com/habib-Boloorchi/CIVO-Visual-Odometry-
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.