Gaze Prediction

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

18 shown of 18 papers with code (55 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction
  6 Nov 2021 6 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  We present a new dataset and benchmark with the goal of advancing research in the intersection of brain activities and eye movements.
• L2CS-Net: Fine-Grained Gaze Estimation in Unconstrained Environments
  7 Mar 2022 2 repositories listed Syntology ran 5 of 10 samples · 5 unverified · 2 pointer-only (licence)
  In this paper, we propose a robust CNN-based model for predicting gaze in unconstrained settings.
• Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition
  24 Mar 2018 2 repositories listed
  We present a new computational model for gaze prediction in egocentric videos by exploring patterns in temporal shift of gaze fixations (attention transition) that are dependent on egocentric manipulation tasks.
• Faster gaze prediction with dense networks and Fisher pruning
  17 Jan 2018 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  Predicting human fixations from images has recently seen large improvements by leveraging deep representations which were pretrained for object recognition.
• Emergence of Human-Like Attention in Self-Supervised Vision Transformers: an eye-tracking study
  30 Oct 2024 1 repository listed
  Traditional bottom-up models, like saliency models, fail to replicate human gaze patterns, and deep gaze prediction models lack biological plausibility due to their reliance on supervised learning.
• EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile Architectures
  6 Aug 2024 1 repository listed
  Electroencephalography (EEG) analysis is an important domain in the realm of Brain-Computer Interface (BCI) research.
• Advancing EEG-Based Gaze Prediction Using Depthwise Separable Convolution and Enhanced Pre-Processing
  6 Aug 2024 1 repository listed
  This study evaluates the effectiveness of pre-processing techniques and the effect of additional depthwise separable convolution on EEG vision transformers (ViTs) in a pretrained model architecture.
• Effect of Kernel Size on CNN-Vision-Transformer-Based Gaze Prediction Using Electroencephalography Data
  6 Aug 2024 1 repository listed
  In this paper, we present an algorithm of gaze prediction from Electroencephalography (EEG) data.
• SCOUT+: Towards Practical Task-Driven Drivers' Gaze Prediction
  12 Apr 2024 1 repository listed
  In this paper, we address the challenge of effective modeling of task and context with common sources of data for use in practical systems.
• Data Limitations for Modeling Top-Down Effects on Drivers' Attention
  12 Apr 2024 1 repository listed
  The crux of the problem is lack of public data with annotations that could be used to train top-down models and evaluate how well models of any kind capture effects of task on attention.
• Sharingan: A Transformer Architecture for Multi-Person Gaze Following
  1 Jan 2024 1 repository listed
  In this paper we introduce a novel and effective multi-person transformer-based architecture for gaze prediction.
• Understanding and Modeling the Effects of Task and Context on Drivers' Gaze Allocation
  13 Oct 2023 1 repository listed
  Therefore, to enable analysis and modeling of these factors for drivers' gaze prediction, we propose the following: 1) we correct the data processing pipeline used in DR(eye)VE to reduce noise in the recorded gaze data;…
• Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention
  27 Mar 2023 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  In response, we pose a new task called ZeroGaze, a new variant of zero-shot learning where gaze is predicted for never-before-searched objects, and we develop a novel model, Gazeformer, to solve the ZeroGaze problem.
• Gazing at Social Interactions Between Foraging and Decision Theory
  30 Mar 2022 1 repository listed
  Finding the underlying principles of social attention in humans seems to be essential for the design of the interaction between natural and artificial agents.
• GaTector: A Unified Framework for Gaze Object Prediction
  7 Dec 2021 1 repository listed
  In this paper, we build a novel framework named GaTector to tackle the gaze object prediction problem in a unified way.
• The Story in Your Eyes: An Individual-difference-aware Model for Cross-person Gaze Estimation
  27 Jun 2021 1 repository listed
  We propose a novel method on refining cross-person gaze prediction task with eye/face images only by explicitly modelling the person-specific differences.
• Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks
  1 Jul 2017 1 repository listed
  Through competition with discriminator, the generator progressively improves quality of the future frames and thus anticipates future gaze better.
• Ecological Sampling of Gaze Shifts
  16 Apr 2013 1 repository listed
  Visual attention guides our gaze to relevant parts of the viewed scene, yet the moment-to-moment relocation of gaze can be different among observers even though the same locations are taken into account.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.