Salient object segmentationBackground prior has been widely used in many salient object detection models with promising results. These methods assume that the image boundary is all background. Then, color feature based methods are used to extract the salient object. However, such assumption may be ...
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...
“Salient object detection” or “salientobject segmentation” is commonly interpreted in computer vision as a process that includes two stages: 1) detecting themost salient object 2) segmenting the accurate region of that objec mostly area-based scores have been employed for model evaluation (e.g...
secrets of salient object segmentation. In CVPR, 2014. 1, 4 [24] N. Liu and J. Han. Dhsnet: Deep hierarchical saliency network for salient object detection. In CVPR, 2016. 1, 2, 3, 6, 7 [25] J. Long, E. Shelhamer, and T. Darrell. Fully convolutional networks for semantic segmen...
3、R. Achanta, F. Estrada, P. Wils, and S. Süsstrunk, “Salient region detection and segmentation,” in Comp. Vis. Sys., 2008. 该文章提出了一种使用亮度和颜色的低级特征来确定图像中的显著性区域的新方法。该方法快速、易于实现,并且能够生成和原始输入图像尺寸以及分辨率一致的显著图。
Since saliency models, whether they address segmentation or fixation prediction, both generate saliency maps; they are interchangeably applicable. The value of saliency detection methods lies in their applications in many fields including: object detection and recognition [30][9], image compression [59...
论文:《The Secrets of Salient Object Segmentation》 在注视预测实验中 显著性检测数据集之——显著物体检测 本文收集的显著性检测数据集包含两个部分:人眼关注点预测数据集(fixation prediction datasets)和显著物体检测数据集(salient object detection...图像提供了5名观测者的眼动数据.该数据集的主要任务是显著...
为了保留更多的边界信息,添加了一个显着的边缘检测模块F,专门关注在真值边缘图P的监督下的对分割显着对象边界的优化。请注意,F可以包含其他边缘感知滤波器,例如Semantic image segmentation with task-specific edge detection using cnns and a discriminatively trained domain transform。
2017TIPDepth-Aware Salient Object Detection and Segmentation via Multiscale Discriminative Saliency Fusion and Bootstrap Learning Hangke Song, et al.Paper/Code 2017TIPEdge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection ...
相似于[Instance-level salient object segmentation],训练阶段使用显著性目标的边缘作为联合训练的真值。 然而,效果一般。整图图5中展示的,对于前景和背景之间对比度低的场景,得到的显着图和边界图仍然不明确。对此的理解可能是,从显着物体中获得的真实边缘图仍然缺少显着物体的大部分详细信息。它们只是告诉显着对象的...