Attentive Systems: A Survey
By Tam V. Nguyen, Qi Zhao, Shuicheng Yan. 2017
71 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Jianbing Shen
- Wenguan Wang
- Ling Shao
- Luc Van Gool
- Haibin Ling
- Ming-Ming Cheng
- Ming-Hsuan Yang
- Dacheng Tao
Citations in the corpus
- Global-and-local attention networks for visual recognition (2018, background): “2 Related work Attention mechanisms In addition to extensive work on learning visual saliency for object detection (see [15] for a recent review), much recent work has focused on the integration of attention modules within end-to-end trainable deep network architectures.”
- Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition (2019, background): “ANN is useful in addressing the problems of crime detection and prevention [39] through PR [40-44].”
- Human Gaze Assisted Artificial Intelligence: A Review (2020, background): “For a recent survey on these applications, please see Nguyen et al. [2018].”
- Spanet: Spatial Pyramid Attention Network for Enhanced Image Recognition (2020, background): “Attention Mechanism [4] has been prevailed in computer vision for years [16].”
- Salient Object Detection in the Deep Learning Era: An In-Depth Survey (2019, background): “[42] mainly focuses on categorizing the applications of visual saliency (including both SOD and FP) in different areas.”