In humans, Attention is a core property of all perceptual and cognitive operations. Given our limited ability to process competing sources, attention mechanisms select, modulate, and …
Semantic segmentation assigns a class label to each image pixel. This dense prediction problem requires large amounts of manually annotated data, which is often unavailable …
G Li, Y Yu - Proceedings of the IEEE conference on …, 2016 - openaccess.thecvf.com
Salient object detection has recently witnessed substantial progress due to powerful features extracted using deep convolutional neural networks (CNNs). However, existing …
R Girdhar, D Ramanan - Advances in neural information …, 2017 - proceedings.neurips.cc
We introduce a simple yet surprisingly powerful model to incorporate attention in action recognition and human object interaction tasks. Our proposed attention module can be …
How best to evaluate a saliency model's ability to predict where humans look in images is an open research question. The choice of evaluation metric depends on how saliency is …
A Borji, L Itti - IEEE transactions on pattern analysis and …, 2012 - ieeexplore.ieee.org
Modeling visual attention-particularly stimulus-driven, saliency-based attention-has been a very active research area over the past 25 years. Many different models of attention are now …
TV Nguyen, Q Zhao, S Yan - International Journal of Computer Vision, 2018 - Springer
Visual saliency analysis detects salient regions/objects that attract human attention in natural scenes. It has attracted intensive research in different fields such as computer vision …
G Li, Y Xie, L Lin, Y Yu - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Image saliency detection has recently witnessed rapid progress due to deep convolutional neural networks. However, none of the existing methods is able to identify object instances …
B Jiang, L Zhang, H Lu, C Yang… - Proceedings of the …, 2013 - openaccess.thecvf.com
In this paper, we formulate saliency detection via absorbing Markov chain on an image graph model. We jointly consider the appearance divergence and spatial distribution of …