Visual Attention and Saliency Detection

Visual Attention and Saliency Detection is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 17k research works in it since 1953. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on computational modeling and detection of visual saliency, including topics such as saliency detection, visual attention, deep learning for salient object detection, analysis of eye movements, image and video segmentation, and the interplay between bottom-up and top-down attention mechanisms.

• Saliency Detection
• Visual Attention
• Salient Object Detection
• Deep Learning
• Eye Movements
• Image Segmentation
• Video Object Segmentation
• Neural Networks
• Bottom-Up Attention
• Top-Down Attention