Scanpath prediction
3개 벤치마크 · 논문 43편 · 이 태스크의 논문 보기 →
Benchmarks
Most implemented
Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images
Few-shot Personalized Scanpath Prediction
OAT: Object-Level Attention Transformer for Gaze Scanpath Prediction
Pathformer3D: A 3D Scanpath Transformer for 360° Images
Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention
Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers
Papers
DeepGaze3.5-VL: Modeling Scanpaths via Autoregressive Token Prediction
Understanding human visual attention on a scene over time has applications in domains such as interface design and inferring cognitive states. Modeling visual scanpaths has historically relied on specialized architecture…
Scanpath predictionFast Human Attention Prediction for Fixation-guided Active Perception in Autonomous Navigation
Human visual attention relies on structured scanpaths to efficiently process scenes, yet instilling this behavior into robot autonomy is in its infancy and hindered by the high,computational costs of existing predictive …
Reinforcement LearningScanpath predictionEyettention II: A Dual-Sequence Architecture for Modeling Fixation Location, Within-Word Landing Position, and Fixation Duration in Reading
The way our eyes move while reading provides valuable insights into both the reader's cognitive processes and the properties of the text. In particular, eye-tracking-while-reading data has shown to be highly beneficial i…
Scanpath predictionObject Referring-Guided Scanpath Prediction with Perception-Enhanced Vision-Language Models
Object Referring-guided Scanpath Prediction (ORSP) aims to predict the human attention scanpath when they search for a specific target object in a visual scene according to a linguistic description describing the object.…
Referring ExpressionScanpath predictionCost-Efficient Multi-Scale Fovea for Semantic-Based Visual Search Attention
Semantics are one of the primary sources of top-down preattentive information. Modern deep object detectors excel at extracting such valuable semantic cues from complex visual scenes. However, the size of the visual inpu…
Scanpath predictionObject DetectionMeasuring and Predicting Where and When Pathologists Focus their Visual Attention while Grading Whole Slide Images of Cancer
The ability to predict the attention of expert pathologists could lead to decision support systems for better pathology training. We developed methods to predict the spatio-temporal (where and when) movements of patholog…
Scanpath prediction