SOTAVerified

Scanpath prediction

Learning to Predict Sequences of Human Fixations.

Papers

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Showing 1–25 of 34 papers

TitleStatusHype
Unifying Top-down and Bottom-up Scanpath Prediction Using TransformersCode1
Few-shot Personalized Scanpath PredictionCode1
ScanDMM: A Deep Markov Model of Scanpath Prediction for 360deg ImagesCode1
Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human AttentionCode1
On gaze deployment to audio-visual cues of social interactionsCode1
Predicting Human Scanpaths in Visual Question AnsweringCode1
PathGAN: Visual Scanpath Prediction with Generative Adversarial NetworksCode0
OAT: Object-Level Attention Transformer for Gaze Scanpath PredictionCode0
Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray ImagesCode0
SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency VolumesCode0
Gravitational Laws of Focus of AttentionCode0
Variational Laws of Visual Attention for Dynamic ScenesCode0
Pathformer3D: A 3D Scanpath Transformer for 360° ImagesCode0
SalyPath360: Saliency and Scanpath Prediction Framework for Omnidirectional Images—0
SALYPATH: A Deep-Based Architecture for visual attention prediction—0
Scanpath Prediction in Panoramic Videos via Expected Code Length Minimization—0
Scanpath Prediction on Information Visualisations—0
Self Supervised Scanpath Prediction Framework for Painting Images—0
State-of-the-Art in Human Scanpath Prediction—0
Unified Dynamic Scanpath Predictors Outperform Individually Trained Neural Models—0
GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths—0
Wave Propagation of Visual Stimuli in Focus of Attention—0
A domain adaptive deep learning solution for scanpath prediction of paintings—0
An Inter-observer consistent deep adversarial training for visual scanpath prediction—0
A Probabilistic Time-Evolving Approach to Scanpath Prediction—0
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All datasetsCapMIT1003Coutrot Dataset 1FixaTons

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NevaClipSBTDE0.38—Unverified
2G-EymolSBTDE0.34—Unverified
#ModelMetricClaimedVerifiedStatus
1G-EYMOLScaled time-delay embeddings0.86—Unverified
#ModelMetricClaimedVerifiedStatus
1G-EYMOLScaled time-delay embeddings0.85—Unverified