Results 11 to 20 of about 1,120,551 (376)

On the Distribution of Salient Objects in Web Images and Its Influence on Salient Object Detection. [PDF]

PLoS ONE, 2015
In recent years it has become apparent that a Gaussian center bias can serve as an important prior for visual saliency detection, which has been demonstrated for predicting human eye fixations and salient object detection. Tseng et al.
Boris Schauerte, Rainer Stiefelhagen
doaj   +17 more sources

Salient Object Subitizing [PDF]

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
We study the problem of Salient Object Subitizing, i.e. predicting the existence and the number of salient objects in an image using holistic cues. This task is inspired by the ability of people to quickly and accurately identify the number of items within the subitizing range (1-4).
Jianming Zhang, Shugao Ma, Mehrnoosh Sameki, Stan Sclaroff, Margrit Betke, Zhe Lin, Xiaohui Shen, Brian Price, Radomír Měch   +8 more
openaire   +10 more sources

Instance-Level Salient Object Segmentation [PDF]

arXiv, 2017
Image saliency detection has recently witnessed rapid progress due to deep convolutional neural networks. However, none of the existing methods is able to identify object instances in the detected salient regions. In this paper, we present a salient instance segmentation method that produces a saliency mask with distinct object instance labels for an ...
Li, Guanbin, Lin, Liang, Xie, Yuan, Yu, Yizhou   +3 more
arxiv   +3 more sources

Deep Contrast Learning for Salient Object Detection [PDF]

Computer Vision and Pattern Recognition, 2016
Salient object detection has recently witnessed substantial progress due to powerful features extracted using deep convolutional neural networks (CNNs). However, existing CNN-based methods operate at the patch level instead of the pixel level.
Guanbin Li, Yizhou Yu
semanticscholar   +4 more sources

BSEFNet: bidirectional self-attention edge fusion network salient object detection based on deep fusion of edge features [PDF]

PeerJ Computer Science
Salient object detection aims to identify the most prominent objects within an image. With the advent of fully convolutional networks (FCNs), deep learning-based saliency detection models have increasingly leveraged FCNs for pixel-level saliency ...
Gan Gao, Yuanyuan Wang, Feng Zhou, Shuaiting Chen, Xiaole Ge, Rugang Wang   +5 more
doaj   +3 more sources

Diverse neuronal activity patterns contribute to the control of distraction in the prefrontal and parietal cortex. [PDF]

PLoS Biology
Goal-directed behavior requires the effective suppression of distractions to focus on the task at hand. Although experimental evidence suggests that brain areas in the prefrontal and parietal lobe contribute to the selection of task-relevant and the ...
Panagiotis Sapountzis, Alexandra Antoniadou, Georgia G Gregoriou   +2 more
doaj   +2 more sources

Towards the Success Rate of One: Real-time Unconstrained Salient Object Detection [PDF]

arXiv, 2017
In this work, we propose an efficient and effective approach for unconstrained salient object detection in images using deep convolutional neural networks. Instead of generating thousands of candidate bounding boxes and refining them, our network directly learns to generate the saliency map containing the exact number of salient objects.
Najibi, Mahyar, Piramuthu, Robinson, Wang, Qiaosong, Yang, Fan   +3 more
arxiv   +3 more sources

Learning Salient Boundary Feature for Anchor-free Temporal Action Localization [PDF]

Computer Vision and Pattern Recognition, 2021
Temporal action localization is an important yet challenging task in video understanding. Typically, such a task aims at inferring both the action category and localization of the start and end frame for each action instance in a long, untrimmed video ...
Chuming Lin, C. Xu, Donghao Luo, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yanwei Fu   +8 more
semanticscholar   +1 more source

Salient Object Detection via Integrity Learning [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Although current salient object detection (SOD) works have achieved significant progress, they are limited when it comes to the integrity of the predicted salient regions. We define the concept of integrity at both a micro and macro level.
Mingchen Zhuge, Deng-Ping Fan, Nian Liu, Dingwen Zhang, Dong Xu, Ling Shao   +5 more
semanticscholar   +1 more source

Multi-Scale Interactive Network for Salient Object Detection [PDF]

Computer Vision and Pattern Recognition, 2020
Deep-learning based salient object detection methods achieve great progress. However, the variable scale and unknown category of salient objects are great challenges all the time.
Youwei Pang, Xiaoqi Zhao, Lihe Zhang, Huchuan Lu   +3 more
semanticscholar   +1 more source