Papers with Code 아카이브
Gaze Prediction
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/GWU-CS/EEG-DCViT
공식 코드https://github.com/KitazawaLab/vit-human-attention-comparison
공식 코드Emergence of Human-Like Attention in Self-Supervised Vision Transformers: an eye-tracking study
https://github.com/amch-q/csci6907project
공식 코드https://github.com/ardkastrati/eegeyenet
공식 코드https://github.com/bjj9/EVE_SCPT
공식 코드The Story in Your Eyes: An Individual-difference-aware Model for Cross-person Gaze Estimation
https://github.com/cvlab-stonybrook/gazeformer
공식 코드Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention
https://github.com/hyf015/egocentric-gaze-prediction
공식 코드Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition
https://github.com/t0nyliang/EEGMobile
공식 코드https://github.com/ykotseruba/scout
공식 코드Understanding and Modeling the Effects of Task and Context on Drivers' Gaze Allocation
https://github.com/EkdeepSLubana/OrthoReg
Faster gaze prediction with dense networks and Fisher pruning
https://github.com/MindSpore-scientific/code-13/tree/main/RGNN
https://github.com/ahmednull/l2cs-net
L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments
https://github.com/hyf015/gaze_prediction
Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition
https://github.com/modeeric/eegvit-tcnet
https://github.com/ruiqirichard/eegeyenet-vit
https://github.com/the-super-toys/glimpse-models
Faster gaze prediction with dense networks and Fisher pruning
https://github.com/yakhyo/gaze-estimation
L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.