A Co-Saliency Model of Image Pairs
By Hongliang Li, King Ngi Ngan. IEEE Transactions on Image Processing, 2011
323 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Sensory Systems
View Paper: https://www.semanticscholar.org/paper/e51600082f18cece25937095141d54c367f11c92
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
- Ming-Ming Cheng
- Ling Shao
- Junwei Han
- Ming-Hsuan Yang
- Dacheng Tao
- Huchuan Lu
- Jianbing Shen
- Deng-Ping Fan
In Sensory Systems
- Ming-Ming Cheng
- Junwei Han
- Ling Shao
- Ali Borji
- Qingming Huang
- Dingwen Zhang
- Huaizu Jiang
- Jianbing Shen
Citations in the corpus
- Cosaliency Detection Based on Intrasaliency Prior Transfer and Deep Intersaliency Mining (2016, background): “I. INTRODUCTION SALIENCY detection has been an extensively studied topicin the past few decades.”
- Review of Visual Saliency Detection With Comprehensive Information (2018, methodology): “As a pioneering work, Li and Ngan [72] proposed a co-saliency detection model for an image pair, where the inter-image correspondence is formulated as the similarity between two nodes through the normalized single-pair SimRank on a co-multilayer graph.”
- Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework (2017, methodology): “To tackle this problem, co-saliency detection has been proposed and attracts intensive research attention in the recent years [1], [2], [3], [4], [5], [6], [7], [8], [9], [10].”
- Revealing Event Saliency in Unconstrained Video Collection (2017, unknown): “Co-saliency detection [16]–[19] aims at discovering the common and salient objects from two or more relevant images, while the categories, characteristics and locations of these objects are entirely unknown.”
- Detection of Co-salient Objects by Looking Deep and Wide (2016, background): “Most previous approaches for co-saliency detection explore the joint information provided by the image pair (Li and Ngan 2011; Chen et al. 2010; Jacobs et al. 2010; Tan et al. 2013).”
- A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection (2015, methodology): “[17] proposed a co-multilayer graph model to explore the multi-image saliency and established the first public co-saliency dataset.”
- Cluster-based Co-saliency Detection (2013, unknown): “Moreover, our SS outperforms co-saliency methods PC [10] and CO [12], and is comparable to MS [11].”
- Salient Object Detection: A Benchmark (2015, background): “[42] IEEE TIP/2011 S w × h ASD”
- SalientShape: group saliency in image collections (2013, background): “Recently, co-saliency methods have been proposed to find common salient object(s) between pair of images [10, 39] or among multiple images [8, 52].”