Results 331 to 340 of about 1,142,230 (358)
Some of the next articles are maybe not open access.
Progressive Attention Guided Recurrent Network for Salient Object Detection
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018Effective convolutional features play an important role in saliency estimation but how to learn powerful features for saliency is still a challenging task.
Xiaoning Zhang +4 more
semanticscholar +1 more source
Reverse Attention for Salient Object Detection
European Conference on Computer Vision, 2018Benefit from the quick development of deep learning techniques, salient object detection has achieved remarkable progresses recently. However, there still exists following two major challenges that hinder its application in embedded devices, low ...
Shuhan Chen +3 more
semanticscholar +1 more source
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection
Computer Vision and Pattern Recognition, 2019The large availability of depth sensors provides valuable complementary information for salient object detection (SOD) in RGBD images. However, due to the inherent difference between RGB and depth information, extracting features from the depth channel ...
Jiaxing Zhao +5 more
semanticscholar +1 more source
On the detection of salient contours
Spatial Vision, 1999When visual space is densely populated by elements of random orientation, elements which happen to be aligned may form a perceptually salient 'contour' (Field et al., 1993; Kovacs and Julesz, 1993). Here we further characterize human performance for detecting this type of Gestalt grouping.
openaire +4 more sources
Trends in Neurosciences, 2004
There is general agreement that midbrain dopamine neurons play key roles in reward processing. What is more controversial is the role they play in processing salient stimuli that are not rewarding. This controversy has arisen for three main reasons. First, salient sensory stimuli such as tones and lights, which are assumed not to be rewarding, increase
openaire +3 more sources
There is general agreement that midbrain dopamine neurons play key roles in reward processing. What is more controversial is the role they play in processing salient stimuli that are not rewarding. This controversy has arisen for three main reasons. First, salient sensory stimuli such as tones and lights, which are assumed not to be rewarding, increase
openaire +3 more sources
A Bi-Directional Message Passing Model for Salient Object Detection
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018Recent progress on salient object detection is beneficial from Fully Convolutional Neural Network (FCN). The saliency cues contained in multi-level convolutional features are complementary for detecting salient objects.
Lu Zhang +4 more
semanticscholar +1 more source
In Search of Perceptually Salient Groupings
IEEE Transactions on Image Processing, 2011Finding meaningful groupings of image primitives has been a long-standing problem in computer vision. This paper studies how salient groupings can be produced using established theories in the field of visual perception alone. The major contribution is a novel definition of the Gestalt principle of Prägnanz, based upon Koffka's definition that image ...
Song, Yi-Zhe +3 more
openaire +4 more sources
2015 IEEE International Conference on Image Processing (ICIP), 2015
In this paper, we propose an unsupervised two-stage algorithm to extract salient objects from images. In the first stage, the image is segmented into superpixels that are grouped together through k-means clustering, based on histogram features of superpixels.
Rajbabu Velmurugan +2 more
openaire +2 more sources
In this paper, we propose an unsupervised two-stage algorithm to extract salient objects from images. In the first stage, the image is segmented into superpixels that are grouped together through k-means clustering, based on histogram features of superpixels.
Rajbabu Velmurugan +2 more
openaire +2 more sources
Stacked Cross Refinement Network for Edge-Aware Salient Object Detection
IEEE International Conference on Computer Vision, 2019Salient object detection is a fundamental computer vision task. The majority of existing algorithms focus on aggregating multi-level features of pre-trained convolutional neural networks. Moreover, some researchers attempt to utilize edge information for
Zhe Wu, Li Su, Qingming Huang
semanticscholar +1 more source
The Journal of Genetic Psychology, 1984
ABSTRACT There has been little empirical research on adults' memories of important events from childhood. In the present paper, 50 college students were asked to summarize one of their earliest memories that had a strong emotional impact. The memories they reported were found to include a rich variety of themes.
George Davidson, Nelson Cowan
openaire +2 more sources
ABSTRACT There has been little empirical research on adults' memories of important events from childhood. In the present paper, 50 college students were asked to summarize one of their earliest memories that had a strong emotional impact. The memories they reported were found to include a rich variety of themes.
George Davidson, Nelson Cowan
openaire +2 more sources