Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks.
Chunshui CaoXianming LiuYi YangYinan YuJiang WangZilei WangYongzhen HuangLiang WangChang HuangWei XuDeva RamananThomas S. HuangPublished in: ICCV (2015)
Keyphrases
- visual attention
- convolutional neural networks
- attention mechanism
- object based visual attention
- visual saliency
- saliency map
- focus of attention
- eye tracking
- eye movements
- convolutional network
- visual search
- vision system
- natural scenes
- visual perception
- higher level
- salient regions
- visual attention model
- relevance feedback
- high level
- visual field
- biological vision systems
- visual saliency detection
- eye tracking data
- visual motion
- real time
- human computer interaction