Results 61 to 70 of about 6,300,985 (321)
Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation [PDF]
, 2017 Co-saliency detection aims at extracting the common salient regions from an image group containing two or more relevant images. It is a newly emerging topic in computer vision community. Different from the most existing co-saliency methods focusing on RGB images, this paper proposes a novel co-saliency detection model for RGBD images, which utilizes ...
arxiv +1 more source
Influence of image classification accuracy on saliency map estimation
CAAI Transactions on Intelligence Technology, 2018 Saliency map estimation in computer vision aims to estimate the locations where people gaze in images. Since people tend to look at objects in images, the parameters of the model pre-trained on ImageNet for image classification are useful for the ...
Taiki Oyama, Takao Yamanaka
doaj +1 more source
CF‐based optimisation for saliency detection
IET Computer Vision, 2018 In view of the observation that saliency maps generated by saliency detection algorithms usually show similarity imperfection against the ground truth, the authors propose an optimisation algorithm based on clustering and fitting (CF) for saliency ...
Yuzhen Niu, Wenqi Lin, Xiao Ke
doaj +1 more source
Co-Saliency Detection for RGBD Images Based on Effective Propagation Mechanism
IEEE Access, 2019 Given a group of images, co-saliency detection aims at highlighting the common and salient foreground regions. To optimally explore the complementary information among images, we propose an effective propagation mechanism for RGBD images.
Zhigang Jin, Jingkun Li, Dong Li
doaj +1 more source
Saliency Integration: An Arbitrator Model [PDF]
Y. Xu, X. Hong, F. Porikli, X. Liu, J. Chen, and G. Zhao,
"Saliency Integration: An Arbitrator Model", IEEE Transactions on Multimedia.
2018, 2016 Saliency integration has attracted much attention on unifying saliency maps from multiple saliency models. Previous offline integration methods usually face two challenges: 1. if most of the candidate saliency models misjudge the saliency on an image, the integration result will lean heavily on those inferior candidate models; 2.
arxiv +1 more source
Saliency Detection with Spaces of Background-based Distribution
, 2016 In this letter, an effective image saliency detection method is proposed by constructing some novel spaces to model the background and redefine the distance of the salient patches away from the background.
Ding, Xinghao +4 more
core +1 more source
FEBS Letters, EarlyView.The S1025 peptide is the major antidote to the YrzI toxin, which we renamed here as SpyT (Small Peptide YrzI Toxin) and SpyA (Small Peptide YrzI Antitoxin) (1). Degradation of the toxin–antitoxin spyTA mRNA, either by a translation‐dependent cleavage by the endoribonuclease Rae1 (2) or by direct attack by 3′‐exoribonucleases (3), also contributes to ...
Laetitia Gilet +4 more
wiley +1 more source
Saliency detection using adaptive background template
IET Computer Vision, 2017 Since most existing saliency detection models are not suitable for the condition that the salient objects are near at the image border, the authors propose a saliency detection approach based on adaptive background template (SCB) despite of the position ...
Lin Huafeng +4 more
doaj +1 more source
FEBS Letters, EarlyView.Spot‐14 and Spot‐14R play distinct roles in regulating metabolism in brown and beige adipocytes. While both influence lipid and glucose pathways, Spot‐14 uniquely controls thermogenic gene expression. This dual regulation balances energy storage and heat production, highlighting potential therapeutic targets for obesity and metabolic disorders. Spot 14
Lidia Itzel Castro‐Rodríguez +3 more
wiley +1 more source
Surface fault location of conveyor belt based on saliency and deep convolution neural network
Gong-kuang zidonghua, 2016 A surface fault location of conveyor belt based on saliency and deep convolution neural network was proposed. The method imprints figures on the edge of upper and lower surfaces of conveyor belt, and uses image processing technology to detect the number ...
ZHAO Yanfei, YANG Yanli, WANG Lijua
doaj +1 more source