Browse State-of-the-Art › Scanpath prediction
Scanpath prediction
13 papers with code · 3 benchmarks · 2 datasets archive 2025-07-28
Learning to Predict Sequences of Human Fixations.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| CapMIT1003 (2 rows) | NevaClip | Contrastive Language-Image Pretrained Models are Zero-Shot Human... | — | — | Compare |
| Coutrot Dataset 1 (1 row) | G-EYMOL | Gravitational Laws of Focus of Attention | code | — | Compare |
| FixaTons (1 row) | G-EYMOL | Gravitational Laws of Focus of Attention | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
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
2 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
13 shown of 13 papers with code (34 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.
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1 Mar 2025 1 repository listedFurther, a multi-class multi-label classifier framework is proposed that uses a generated scanpath and visual image features to classify diseases in CXR images.
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1 Jan 2025 1 repository listedA personalized model for scanpath prediction provides insights into the visual preferences and attention patterns of individual subjects.
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18 Jul 2024 1 repository listed Syntology ran 15 of 18 samples · 3 unverified · 18 pointer-only (licence)The decoder predicts the gaze scanpath as a sequence of object fixations, by integrating output features from both the encoder and decoder.
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15 Jul 2024 1 repository listedThen, the contextual feature representation and historical fixation information are input into a Transformer decoder to output current time step's fixation embedding, where the self-attention module is used to imitate…
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27 Mar 2023 1 repository listed Syntology ran 0 of 2 samples · 2 unverifiedIn 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.
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16 Mar 2023 1 repository listedMost models of visual attention aim at predicting either top-down or bottom-up control, as studied using different visual search and free-viewing tasks.
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1 Jan 2023 1 repository listedScanpath prediction for 360deg images aims to produce dynamic gaze behaviors based on the human visual perception mechanism.
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19 Jun 2021 1 repository listedConditioned on a task guidance map, the proposed model learns question-specific attention patterns to generate scanpaths.
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2 Sep 2020 1 repository listedAttention supports our urge to forage on social cues.
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4 Jun 2019 1 repository listedThe understanding of the mechanisms behind focus of attention in a visual scene is a problem of great interest in visual perception and computer vision.
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3 Sep 2018 1 repository listedWe introduce PathGAN, a deep neural network for visual scanpath prediction trained on adversarial examples.
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1 Dec 2017 1 repository listedWe devise variational laws of the eye-movement that rely on a generalized view of the Least Action Principle in physics.
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11 Jul 2017 1 repository listedThe first part of the network consists of a model trained to generate saliency volumes, whose parameters are fit by back-propagation computed from a binary cross entropy (BCE) loss over downsampled versions of the…
Syntology lines on 2 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.
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