Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition

By Dashan Gao, Sunhyoung Han, Nuno Vasconcelos. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009

309 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ec7d516248b82e62f59b0b5ad373acc854441c1b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images (2020, methodology): “Inspired by the human attention mechanism, substantial algorithms have been developed over the last few decades [51]–[53].”
Visual Saliency Based on Scale-Space Analysis in the Frequency Domain (2013, unknown): “F”
Object Detection With Deep Learning: A Review (2018, background): “In a word, TD saliency can be viewed as a focus-of-attention mechanism, which prunes BU salient points that are unlikely to be parts of the object [132].”
Saliency Detection on Light Field (2017, unknown): “For example, successful salient object detection algorithms facilitate automated image segmentation [1], more reliable object detection [2], effective image thumbnailling [3] and retargeting [4].”
Revisiting Video Saliency Prediction in the Deep Learning Era (2021, background): “Only fewstudies [42], [43], [44] havebeen so far spe-ciﬁcally designed to model top-down attentional allocation in scenes.”
State-of-the-Art in Visual Attention Modeling (2013, methodology): “This is the case of discriminant saliency [146], [147], [215], but also appears in Harel et al.”
Deep Visual Attention Prediction (2017, background): “These models can be generally classiﬁed into two main categories as bottom-up approaches [8], [9] and top-down approaches [10], [11], [12].”
Top-down visual saliency via joint CRF and dictionary learning (2012, methodology): “The experimental results show that our model performs favorably against several state-ofthe-art top-down saliency algorithms [6, 12].”
Attentive Systems: A Survey (2017, background): “Gao andVasconcelos (2004), Gao et al. (2009) propose an alternative definition of saliency, denoted by discriminant saliency that is intrinsically grounded on the recognition problem. This work is based on the intuition that, for recognition, the salient features of a visual class are those that bes”