https://github.com/leeisack/latentgaze
공식 코드LatentGaze: Cross-Domain Gaze Estimation through Gaze-Aware Analytic Latent Code Manipulation
Papers with Code 아카이브
Gaze Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 11
- 보존된 평가 기록
- 22
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://github.com/linh-gist/gazeestimationtx2
공식 코드Resolving Camera Position for a Practical Application of Gaze Estimation on Edge Devices
https://github.com/lrdmurthy/parks-gaze
공식 코드Towards Precision in Appearance-based Gaze Estimation in the Wild
https://github.com/mickeyllg/uvagaze
공식 코드UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation
https://github.com/naranjuelo/gc-gan
공식 코드https://github.com/natanielruiz/deep-head-pose
공식 코드https://github.com/neelabhsinha/flame
공식 코드FLAME: Facial Landmark Heatmap Activated Multimodal Gaze Estimation
https://github.com/osierboy/GEM-ZSL
공식 코드https://github.com/pupil-labs/pupil
공식 코드Pupil: An Open Source Platform for Pervasive Eye Tracking and Mobile Gaze-based Interaction
https://github.com/recasens/Saliency-Sampler
공식 코드Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks
https://github.com/rishipython/one-eye-is-all-you-need-lightweight-ensembles-for-gaze-estimation-with-single-encoders
공식 코드One Eye is All You Need: Lightweight Ensembles for Gaze Estimation with Single Encoders
https://github.com/rwightman/pytorch-image-models
공식 코드https://github.com/swook/faze_preprocess
공식 코드Self-Learning Transformations for Improving Gaze and Head Redirection
https://github.com/tiger-sn/gem
공식 코드GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph
https://github.com/upeee/GOO-GAZE2021
공식 코드GOO: A Dataset for Gaze Object Prediction in Retail Environments
https://github.com/ut-vision/rot-mvgaze
공식 코드Rotation-Constrained Cross-View Feature Fusion for Multi-View Appearance-based Gaze Estimation
https://github.com/vagver/3dgazenet
공식 코드3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic Views
https://github.com/vagver/dense3deyes
공식 코드3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic Views
https://github.com/vbmaq/et-sam
공식 코드Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)
https://github.com/xucong-zhang/ETH-XGaze
공식 코드ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation
https://github.com/yihuacheng/GazeTR
공식 코드https://github.com/yihuacheng/dvgaze
공식 코드https://github.com/yihuacheng/puregaze
공식 코드PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation
https://github.com/yunhanwang1105/GazeTech
공식 코드Investigation of Architectures and Receptive Fields for Appearance-based Gaze Estimation
https://github.com/z-mahmud22/MSGazeNet
공식 코드https://github.com/zgchen33/mcgaze
공식 코드End-to-end Video Gaze Estimation via Capturing Head-face-eye Spatial-temporal Interaction Context
https://gitlab.lrz.de/hctl/Iris-Obfuscation-Benchmark
공식 코드Trade-offs in Privacy-Preserving Eye Tracking through Iris Obfuscation: A Benchmarking Study
https://gitlab.lrz.de/hctl/Iris-Style-Transfer
공식 코드https://github.com/2023-MindSpore-1/ms-code-201
https://github.com/AayushKrChaudhary/RITnet
RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking
https://github.com/AlexHex7/SimGAN_pytorch
Learning from Simulated and Unsupervised Images through Adversarial Training
https://github.com/BR-IDL/PaddleViT/tree/develop/image_classification/MobileOne
https://github.com/CSAILVision/GazeCapture
https://github.com/EkdeepSLubana/OrthoReg
Faster gaze prediction with dense networks and Fisher pruning
https://github.com/Joey0094/GazeML_torch
Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings
https://github.com/Joey0094/HRNetGaze_torch
Learning to Find Eye Region Landmarks for Remote Gaze Estimation in Unconstrained Settings
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.