A new multi-scale pyramidal fovea in SemBA reduces processing costs, improves scanpath prediction accuracy, and approximates human visual search consistency while preserving human fovea proportions.
Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers
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Cost-Efficient Multi-Scale Fovea for Semantic-Based Visual Search Attention
A new multi-scale pyramidal fovea in SemBA reduces processing costs, improves scanpath prediction accuracy, and approximates human visual search consistency while preserving human fovea proportions.