Results 41 to 50 of about 94,707 (276)

RGB-T salient object detection via fusing multi-level CNN features [PDF]

, 2019
RGB-induced salient object detection has recently witnessed substantial progress, which is attributed to the superior feature learning capability of deep convolutional neural networks (CNNs).
Han, Jungong, Huang, Nianchang, Shan, Caifeng, Yao, Lin, Zhang, Dingwen, Zhang, Qiang   +5 more
core   +1 more source

Improvised Salient Object Detection and Manipulation

, 2015
In case of salient subject recognition, computer algorithms have been heavily relied on scanning of images from top-left to bottom-right systematically and apply brute-force when attempting to locate objects of interest. Thus, the process turns out to be
Maity, Abhishek
core   +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, Mech, Radomir, Price, Brian, Sclaroff, Stan, Shen, Xiaohui, Zhang, Jianming   +5 more
core   +1 more source

Pluralistic Salient Object Detection

IEEE Transactions on Image Processing
We introduce pluralistic salient object detection (PSOD), a novel task aimed at generating multiple plausible salient segmentation results for a given input image. Unlike conventional SOD methods that produce a single segmentation mask for salient objects, this new setting recognizes the inherent complexity of real-world images, comprising multiple ...
Xuelu Feng, Yunsheng Li, Dongdong Chen, Chunming Qiao, Junsong Yuan, Lu Yuan, Gang Hua   +6 more
openaire   +3 more sources

Learning RGB-D Salient Object Detection using background enclosure, depth contrast, and top-down features

, 2017
Recently, deep Convolutional Neural Networks (CNN) have demonstrated strong performance on RGB salient object detection. Although, depth information can help improve detection results, the exploration of CNNs for RGB-D salient object detection remains ...
Barnes, Nick, Feng, David, Shigematsu, Riku, You, Shaodi   +3 more
core   +1 more source

Hybrid-Attention Network for RGB-D Salient Object Detection

Applied Sciences, 2020
Depth information has been widely used to improve RGB-D salient object detection by extracting attention maps to determine the position information of objects in an image.
Yuzhen Chen, Wujie Zhou
doaj   +1 more source

A Fusion Underwater Salient Object Detection Based on Multi-Scale Saliency and Spatial Optimization

Journal of Marine Science and Engineering, 2023
Underwater images contain abundant information, but many challenges remain for underwater object detection tasks. Various salient object detection methods may encounter low detection precision, and the segmented map has an incomplete region of the target
Weiliang Huang, Daqi Zhu, Mingzhi Chen
doaj   +1 more source

Salient Object Detection via Fusion of Multi-Visual Perception

Applied Sciences
Salient object detection aims to distinguish the most visually conspicuous regions, playing an important role in computer vision tasks. However, complex natural scenarios can challenge salient object detection, hindering accurate extraction of objects ...
Wenjun Zhou, Tianfei Wang, Xiaoqin Wu, Chenglin Zuo, Yifan Wang, Quan Zhang, Bo Peng   +6 more
doaj   +1 more source

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

, 2017
In this work, we propose an efficient and effective approach for unconstrained salient object detection in images using deep convolutional neural networks.
Najibi, Mahyar, Piramuthu, Robinson, Wang, Qiaosong, Yang, Fan   +3 more
core   +1 more source

Video Saliency Detection Using Object Proposals [PDF]

, 2018
In this paper, we introduce a novel approach to identify salient object regions in videos via object proposals. The core idea is to solve the saliency detection problem by ranking and selecting the salient proposals based on object-level saliency cues ...
Guo, Fang, Shao, Ling, Shen, Jianbing, Tang, YY, Tao, Dacheng, Wang, Wenguan, Yang, Jian   +6 more
core   +1 more source