Results 51 to 60 of about 1,120,551 (376)
Weakly supervised salient object detection via double object proposals guidance
IET Image Processing, 2021 The weakly supervised methods for salient object detection are attractive, since they greatly release the burden of annotating time‐consuming pixel‐wise masks.
Zhiheng Zhou +4 more
doaj +1 more source
Reward Salience and Choice in a Controlling Context: A Lab Experiment
Frontiers in Psychology, 2022 One of the challenges in the motivation literature is examining the simultaneous effect of different motivational mechanisms on overall motivation and performance.
Rosa Hendijani, Piers Steel
doaj +1 more source
Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection [PDF]
IEEE International Conference on Computer Vision, 2017 Fully convolutional neural networks (FCNs) have shown outstanding performance in many dense labeling problems. One key pillar of these successes is mining relevant information from features in convolutional layers.
Pingping Zhang +4 more
semanticscholar +1 more source
Unconstrained salient object detection via proposal subset optimization [PDF]
, 2016 We aim at detecting salient objects in unconstrained images. In unconstrained images, the number of salient objects (if any) varies from image to image, and is not given. We present a salient object detection system that directly outputs a compact set of
Lin, Zhe +5 more
core +1 more source
Unsupervised Salient Object Detection with Spectral Cluster Voting [PDF]
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022 In this paper, we tackle the challenging task of unsupervised salient object detection (SOD) by leveraging spectral clustering on self-supervised features.
Gyungin Shin, Samuel Albanie, Weidi Xie
semanticscholar +1 more source
Salient and non-salient fiducial detection using a probabilistic graphical model [PDF]
Pattern Recognition, 2014 Deformable shape detection is an important problem in computer vision and pattern recognition. However, standard detectors are typically limited to locating only a few salient landmarks such as landmarks near edges or areas of high contrast, often conveying insufficient shape information.
Carlos Fabian Benitez-Quiroz +3 more
openaire +3 more sources
Salient selves in uncertain futures [PDF]
, 2020 We examined possible selves during three distinct periods of uncertainty. Cancer survivors (Study 1a) and survivors’ romantic partners (Study 1b) rated the salience of possible selves in which the cancer did (negative possible self; NPS) and did not ...
Dunlop, WL, Sweeny, K
core +1 more source
An empirical study on the development of metaphorical comprehension of Chinese children
Frontiers in PsychologyMetaphor affects how people focus, remember, and process information and significantly influences children’s language development. The study explored metaphorical comprehension by Chinese children of different ages (5–8 years).
Lulu Cheng +9 more
doaj +1 more source
Evidence for arousal-biased competition in perceptual learning
Frontiers in Psychology, 2012 Arousal-biased competition theory predicts that arousal biases competition in favor of perceptually salient stimuli and against non-salient stimuli (Mather & Sutherland, 2011).
Tae-Ho eLee, Laurent eItti, Mara eMather
doaj +1 more source
Salient Region Guided Blind Image Sharpness Assessment
Sensors, 2021 Salient regions provide important cues for scene understanding to the human vision system. However, whether the detected salient regions are helpful in image blur estimation is unknown.
Siqi Liu +5 more
doaj +1 more source