Visual attention distribution operates via a two-component framework
the verdict
SUPPORTED
the evidence backs this
confidence 84/100
Visual attention distribution is widely modeled and understood through a two-component framework, such as the classic distinction between goal-driven and stimulus-driven systems or architectures combining spatial and channel-wise attention.
Evidence for · 6
Knowing What it is: Semantic-Enhanced Dual Attention Transformer
2023 · cited by 33
Paper [0] utilizes a dual-attention framework combining spatial and channel-wise attention to model visual feature dependencies.
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More for · 5
Dual Attention and Question Categorization-Based Visual Question Answering
2023 · cited by 16
Paper [1] proposes a dual attention mechanism to capture enriched cross-modality representations in visual tasks.
Dual attention model with reinforcement learning for classification of histology whole-slide images
2023 · cited by 15
Paper [2] implements a dual attention approach consisting of a soft attention model for regions of interest and a hard attention model for multi-resolution glimpses.
Fusion of Visual Attention and Scene Descriptions With Deep Reinforcement Learning for AAV Indoor Autonomous Navigation
2025 · cited by 2
Paper [5] employs a dual guidance framework with visual attention and scene-aware components for autonomous navigation.
Dual Attention-Driven Optimized YOLOV5 Framework for Accurate Fall Detection in Visual Monitoring Systems
2025 · cited by 2
Paper [6] integrates spatial and channel-wise attention mechanisms (dual attention) for accurate fall detection in visual monitoring.
Top-Down Contributions to Attention Shifting and Disengagement: A Template Model of Visual Attention
2018 · cited by 1
Paper [10] explicitly describes visual attention control through two separate systems or components (goal-driven and stimulus-driven).