منابع مشابه
Improving Salient Object Subitizing
In this study, we investigate the work of [1] on Salient Object Subitizing — the ability to quickly detect a small number of objects in an image. We firstly apply the method described by [1] with a bigger model to show that performance is improved. We than look at how data augmentation and additional data affects our system. We improve the (recently established) state-of-the-art in Salient Obje...
متن کاملSalient Object Subitizing: Supplementary Material 1. Visualizing the CNN Subitizing Classifiers
[1] A. Karpathy. t-SNE visualization of CNN. http://cs.stanford.edu/people/karpathy/ cnnembed/. [2] A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems (NIPS), 2012. [3] O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. ...
متن کاملRevisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects
Salient object detection is a problem that has been considered in detail and many solutions proposed. In this paper, we argue that work to date has addressed a problem that is relatively ill-posed. Specifically, there is not universal agreement about what constitutes a salient object when multiple observers are queried. This implies that some objects are more likely to be judged salient than ot...
متن کاملLocating Salient Object Features
We present a method for locating salient object features. Salient features are those which have a low probability of being mis-classified with any other feature, and are therefore more easily found in a similar image containing an example of the object. The local image structure can be described by vectors extracted using a standard ‘feature extractor’ at a range of scales. We train statistical...
متن کاملSalient Object Detection: A Survey
Detecting and segmenting salient objects in natural scenes, also known as salient object detection, has attracted a lot of focused research in computer vision and has resulted in many applications. However, while many such models exist, a deep understanding of achievements and issues is lacking. We aim to provide a comprehensive review of the recent progress in this field. We situate salient ob...
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ژورنال
عنوان ژورنال: International Journal of Computer Vision
سال: 2017
ISSN: 0920-5691,1573-1405
DOI: 10.1007/s11263-017-1011-0