Salient object detection: a benchmark. IEEE Trans. Image Process. 24 (12), 5706-5722. http://dx.doi.org/10.1109/TIP. 2015.2487833.Salient object detection:A benchmark. BORJI A,SIHITE D N,ITTI L. Proceedings of European Conference on Computer Vision . 2012...
内容提示: RGBD Salient Object Detection:A Benchmark and AlgorithmsHouwen Peng 1 , Bing Li 1 , Weihua Xiong 1 , Weiming Hu 1 , and Rongrong Ji 21Institute of Automation, Chinese Academy of Sciences, China2Department of Cognitive Science, Xiamen University, Chinahttp://sites.google.com/site/...
We extensively compare, qualitatively and quantitatively, 40 state-of-the-art models (28 salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over 6 challenging datasets for the purpose of benchmarking salient object detection and segmentation methods. From the results obtai...
Revisiting Salient Object Detection:Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects Salient Object Detection: A Benchmark Salient Object Detection and Segmentation Salient Object Detection by Lossless Feature Reflection Salient Object Detection: A Discriminative Regional Feature Integrat...
Here is the SALient Object Detection (SALOD) benchmark (paper link), published in Pattern Recognition. We have re-implemented over 20 SOD methods using the same settings, including input size, data loader and evaluation metrics (thanks toMetrics). Some other networks are debugging now, it is...
Salient object detection: a benchmark IEEE Trans. Image Process (2015) W.Shimodaet al. Distinct class-specific saliency maps for weakly supervised semantic segmentation Proceedings of European Conference on Computer Vision (2016) L.Ittiet al. ...
related benchmark datasets in detail. Further, as light fields can also provide depth maps, we review salient object detection models and popular benchmark datasets from this domain too. Moreover, to investigate the ability of existing models to detect salient objects, we have carried out a comp...
Salient object detection: A benchmark. IEEE Trans. Image Processing, 24(12):5706–5722, 2015. [4] Shuhan Chen, Xiuli Tan, Ben Wang, and Xuelong Hu. Re- verse attention for salient object detection. In Computer Vision - ECCV 2018 - 15th European Conference, Mu- nich, Germany, September...
The performance evaluation on several popular benchmark data sets validates that our approach outperforms existing state-of-the-arts. 1. Introduction Visual saliency has been a fundamental problem in neuroscience, psychology, neural systems, and computer vision for a long time. It is originally a ...
Salient object detection is an important task for both the human perception and computer vision applications. Contrary to the popular pixel- or superpixel-... KF Yang,X Gao,JR Zhao,... - Springer Berlin Heidelberg 被引量: 14发表: 2015年 A Benchmark Dataset and Saliency-Guided Stacked Autoen...