Papers with Code 아카이브
Gaze Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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://github.com/the-super-toys/glimpse-models
Faster gaze prediction with dense networks and Fisher pruning
https://github.com/trakaros/MPIIGaze
MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation
https://github.com/xiamenwcy/pictorial_net
https://github.com/yakhyo/gaze-estimation
Gaze360: Physically Unconstrained Gaze Estimation in the Wild
https://github.com/yakhyo/head-pose-estimation
https://github.com/yehengchen/FaceNet-FaceRecognition
https://github.com/yehengchen/FaceRecognition
https://github.com/yehengchen/FaceRecognition-FaceNet
https://github.com/yehengchen/SmartCar-FaceRecognition
https://github.com/yihuacheng/Dilated-Net
Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark
https://github.com/yihuacheng/Full-face
Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark
https://github.com/yihuacheng/Gaze-Net
Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark
https://github.com/yihuacheng/Gaze360
Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark
https://github.com/yihuacheng/Itracker
Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark
https://github.com/yihuacheng/Mnist
Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark
https://github.com/yihuacheng/RT-Gene
Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark
https://github.com/zhengyuf/STED-gaze
Self-Learning Transformations for Improving Gaze and Head Redirection
https://gitlab.com/birder/birder
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.