Visual attention distribution operates via a two-component framework

Yiwei Ma, Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Yongjian Wu, Feiyue Huang, Rongrong Ji. Knowing What it is: Semantic-Enhanced Dual Attention Transformer. 2023. https://doi.org/10.1109/TMM.2022.3164787

Paper [0] utilizes a dual-attention framework combining spatial and channel-wise attention to model visual feature dependencies.

Aakansha Mishra, A. Anand, Prithwijit Guha. Dual Attention and Question Categorization-Based Visual Question Answering. 2023. https://doi.org/10.1109/TAI.2022.3160418

Paper [1] proposes a dual attention mechanism to capture enriched cross-modality representations in visual tasks.

Manahil Raza, Ruqayya Awan, R. M. S. Bashir, Talha Qaiser, N. Rajpoot. Dual attention model with reinforcement learning for classification of histology whole-slide images. 2023. https://doi.org/10.1016/j.compmedimag.2024.102466

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.

Hussein Samma, Ahmed Abubaker, Mubarak Aremu Badamasi, Mohammed Abdel-Nasser, Sami Elferik. Fusion of Visual Attention and Scene Descriptions With Deep Reinforcement Learning for AAV Indoor Autonomous Navigation. 2025. https://doi.org/10.1109/ACCESS.2025.3566428

Paper [5] employs a dual guidance framework with visual attention and scene-aware components for autonomous navigation.

M. Ahmad, Arshad Khan, Taimur Ali Khan, Bilal Ahmad. Dual Attention-Driven Optimized YOLOV5 Framework for Accurate Fall Detection in Visual Monitoring Systems. 2025. https://doi.org/10.62762/tis.2025.559776

Paper [6] integrates spatial and channel-wise attention mechanisms (dual attention) for accurate fall detection in visual monitoring.