Results 41 to 50 of about 1,142,230 (358)
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
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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
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
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
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
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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
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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
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
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
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
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