https://bitbucket.org/eye-ush/ritnet
공식 코드RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking
Papers with Code 아카이브
Gaze Estimation
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Gaze Estimation is a task to predict where a person is looking at given the person’s full face. The task contains two directions: 3-D gaze vector and 2-D gaze position estimation. 3-D gaze vector estimation is to predict the gaze vector, which is usually used in the automotive safety. 2-D gaze position estimation is to predict the horizontal and vertical coordinates on a 2-D screen, which allows utilizing gaze point to control a cursor for human-machine interaction.
Source: A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://bitbucket.org/rskothari/multiset_gaze
공식 코드EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking
https://github.com/CodeMonsterPHD/GaTector-A-Unified-Framework-for-Gaze-Object-Prediction
공식 코드https://github.com/DreamtaleCore/PnP-GA
공식 코드Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation
https://github.com/HKUST-NISL/GEDDnet
공식 코드Towards High Performance Low Complexity Calibration in Appearance Based Gaze Estimation
https://github.com/HzDmS/gaze_redirection
공식 코드Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks
https://github.com/LingyuDu/PrivateGaze
공식 코드PrivateGaze: Preserving User Privacy in Black-box Mobile Gaze Tracking Services
https://github.com/LingyuDu/SecureGaze
공식 코드SecureGaze: Defending Gaze Estimation Against Backdoor Attacks
https://github.com/NVlabs/few_shot_gaze
공식 코드https://github.com/NVlabs/weakly-supervised-gaze
공식 코드https://github.com/Neerudubey/Unsupervised-Eye-gaze-estimation
공식 코드Unsupervised Learning of Eye Gaze Representation from the Web
https://github.com/amr-gomaa/ML-PersRef
공식 코드https://github.com/andreasnaoum/adapting-robot-explanation-for-failures
공식 코드https://github.com/apple/ml-mobileone
공식 코드https://github.com/arangesh/GPCycleGAN
공식 코드Gaze Preserving CycleGANs for Eyeglass Removal & Persistent Gaze Estimation
https://github.com/ashesh-0/multizoomgaze
공식 코드360-Degree Gaze Estimation in the Wild Using Multiple Zoom Scales
https://github.com/bjj9/EVE_SCPT
공식 코드The Story in Your Eyes: An Individual-difference-aware Model for Cross-person Gaze Estimation
https://github.com/chenxi-guo/transgop
공식 코드https://github.com/crisie/RecurrentGaze
공식 코드Recurrent CNN for 3D Gaze Estimation using Appearance and Shape Cues
https://github.com/czk32611/GEDDnet
공식 코드Towards High Performance Low Complexity Calibration in Appearance Based Gaze Estimation
https://github.com/dbseorms16/haze_net
공식 코드HAZE-Net: High-Frequency Attentive Super-Resolved Gaze Estimation in Low-Resolution Face Images
https://github.com/dcnieho/byrneetal_cr_cnn
공식 코드https://github.com/dcnieho/byrneetal_leyes
공식 코드LEyes: A Lightweight Framework for Deep Learning-Based Eye Tracking using Synthetic Eye Images
https://github.com/eye-tracking-for-physiological-sensing/eyelorin
공식 코드https://github.com/flakeua/bachelorsthesis
공식 코드Appearance-based gaze estimation enhanced with synthetic images using deep neural networks
https://github.com/francescotonini/multimodal-across-domains-gaze-target-detection
공식 코드https://github.com/haofanwang/accurate-head-pose
공식 코드https://github.com/hkust-nisl/gazesetmerge
공식 코드Merging Multiple Datasets for Improved Appearance-Based Gaze Estimation
https://github.com/hmarkamcan/tpgaze
공식 코드Test-Time Personalization with Meta Prompt for Gaze Estimation
https://github.com/i-am-shreya/EyeGazeSurvey
공식 코드Automatic Gaze Analysis: A Survey of Deep Learning based Approaches
https://github.com/i-am-shreya/labelling-the-gaps
공식 코드'Labelling the Gaps': A Weakly Supervised Automatic Eye Gaze Estimation
https://github.com/intelligolabs/privacy-gtd-3d
공식 코드Upper-Body Pose-based Gaze Estimation for Privacy-Preserving 3D Gaze Target Detection
https://github.com/jdjdli/denoise_distill_ef_gazetracker
공식 코드Modeling State Shifting via Local-Global Distillation for Event-Frame Gaze Tracking
https://github.com/jswati31/gazeclr
공식 코드https://github.com/jswati31/stage
공식 코드Spatio-Temporal Attention and Gaussian Processes for Personalized Video Gaze Estimation
https://github.com/learninginvision/spu
공식 코드Self-Paced Deep Regression Forests with Consideration of Ranking Fairness
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.