Results 21 to 30 of about 622,575 (227)
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
Co-Salient Object Detection With Co-Representation Purification [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Co-salient object detection (Co-SOD) aims at discovering the common objects in a group of relevant images. Mining a co-representation is essential for locating co-salient objects.
Ziyue Zhu +4 more
semanticscholar +1 more source
Deeply Supervised Salient Object Detection with Short Connections [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 Recent progress on salient object detection is substantial, benefiting mostly from the explosive development of Convolutional Neural Networks (CNNs). Semantic segmentation and salient object detection algorithms developed lately have been mostly based on
Qibin Hou +5 more
semanticscholar +1 more source
Hybrid Attention Asynchronous Cascade Network for Salient Object Detection
Mathematics, 2023 The highlighted area or object is defined as the salient region or salient object. For salient object detection, the main challenges are still the clarity of the boundary information of the salient object and the positioning accuracy of the salient ...
Haiyan Yang +3 more
doaj +1 more source
Salient Object Detection: A Benchmark [PDF]
IEEE Transactions on Image Processing, 2015 We extensively compare, qualitatively and quantitatively, 41 state-of-the-art models (29 salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over seven challenging data sets for the purpose of benchmarking salient object ...
A. Borji +3 more
semanticscholar +1 more source
Salient Object Detection in Optical Remote Sensing Images Driven by Transformer [PDF]
IEEE Transactions on Image Processing, 2023 Existing methods for Salient Object Detection in Optical Remote Sensing Images (ORSI-SOD) mainly adopt Convolutional Neural Networks (CNNs) as the backbone, such as VGG and ResNet.
Gongyang Li +4 more
semanticscholar +1 more source
Salient Object Detection With Importance Degree
IEEE Access, 2020 In this article, we introduce salient object detection with importance degree (SOD-ID), which is a generalized technique for salient object detection (SOD), and propose an SOD-ID method.
Yo Umeki +3 more
doaj +1 more source
Salient Object Detection from Multi-spectral Remote Sensing Images with Deep Residual Network [PDF]
Journal of Geodesy and Geoinformation Science, 2019 Salient object detection aims at identifying the visually interesting object regions that are consistent with human perception. Multispectral remote sensing images provide rich radiometric information in revealing the physical properties of the observed ...
Yuchao DAI,Jing ZHANG,Mingyi HE,Fatih PORIKLI,Bowen LIU
doaj +1 more source
Cascaded Partial Decoder for Fast and Accurate Salient Object Detection [PDF]
Computer Vision and Pattern Recognition, 2019 Existing state-of-the-art salient object detection networks rely on aggregating multi-level features of pre-trained convolutional neural networks (CNNs).
Zhe Wu, Li Su, Qingming Huang
semanticscholar +1 more source
HiDAnet: RGB-D Salient Object Detection via Hierarchical Depth Awareness [PDF]
IEEE Transactions on Image Processing, 2023 RGB-D saliency detection aims to fuse multi-modal cues to accurately localize salient regions. Existing works often adopt attention modules for feature modeling, with few methods explicitly leveraging fine-grained details to merge with semantic cues ...
Zongwei Wu +4 more
semanticscholar +1 more source