Results 41 to 50 of about 1,120,551 (376)
Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation [PDF]
Computer Vision and Pattern Recognition, 2021 Semantic segmentation aims to classify every pixel of an input image. Considering the difficulty of acquiring dense labels, researchers have recently been resorting to weak labels to alleviate the annotation burden of segmentation.
Yazhou Yao +7 more
semanticscholar +1 more source
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 +5 more
core +1 more source
Weakly-Supervised Salient Object Detection via Scribble Annotations [PDF]
Computer Vision and Pattern Recognition, 2020 Compared with laborious pixel-wise dense labeling, it is much easier to label data by scribbles, which only costs 1~2 seconds to label one image. However, using scribble labels to learn salient object detection has not been explored.
Jing Zhang +5 more
semanticscholar +1 more source
Salient Object Detection Techniques in Computer Vision—A Survey
Entropy, 2020 Detection and localization of regions of images that attract immediate human visual attention is currently an intensive area of research in computer vision.
Ashish Kumar Gupta +3 more
doaj +1 more source
IEEE Access, 2021 Interior permanent magnet synchronous machines (IPMSMs) are widely used in electric vehicles due to their high power density, high efficiency, and wide speed range.
Jiakuan Xia +3 more
doaj +1 more source
Salient Object Detection with Semantic Priors [PDF]
, 2017 Salient object detection has increasingly become a popular topic in cognitive and computational sciences, including computer vision and artificial intelligence research.
Liu, Luoqi, Nguyen, Tam V.
core +1 more source
Survey of Salient Object Detection Based on Deep Learning
Jisuanji kexue yu tansuo, 2021 With the development of deep learning, salient object detection based on deep learning has become a research hotspot in the computer vision field. Firstly, existing salient object detection methods based on deep learning are introduced from three aspects,
SHI Caijuan, ZHANG Weiming, CHEN Houru, GE Lulu
doaj +1 more source
IET Image Processing, 2022 This paper proposes a multiple salient region detection and localization approach for unstructured industrial robot work environments with arbitrarily located and orientated objects.
Sudipta Bhuyan, Debashis Sen, Sankha Deb
doaj +1 more source
Salient Object Detection in the Deep Learning Era: An In-Depth Survey [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 As an essential problem in computer vision, salient object detection (SOD) has attracted an increasing amount of research attention over the years. Recent advances in SOD are predominantly led by deep learning-based solutions (named deep SOD).
Wenguan Wang +4 more
semanticscholar +1 more source
Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images [PDF]
IEEE Transactions on Image Processing, 2020 Despite the remarkable advances in visual saliency analysis for natural scene images (NSIs), salient object detection (SOD) for optical remote sensing images (RSIs) still remains an open and challenging problem.
Qijian Zhang +7 more
semanticscholar +1 more source