Results 1 to 10 of about 25,989,787 (296)
Revisiting Local Descriptors via Frequent Pattern Mining for Fine-Grained Image Retrieval
Entropy, 2022 Fine-grained image retrieval aims at searching relevant images among fine-grained classes given a query. The main difficulty of this task derives from the small interclass distinction and the large intraclass variance of fine-grained images, posing ...
Min Zheng, Yangliao Geng, Qingyong Li
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HMD-Net: A Vehicle Hazmat Marker Detection Benchmark
Entropy, 2022 Vehicles carrying hazardous material (hazmat) are severe threats to the safety of highway transportation, and a model that can automatically recognize hazmat markers installed or attached on vehicles is essential for intelligent management systems ...
Lei Jia +5 more
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An Improved Heteroscedastic Modeling Method for Chest X-ray Image Classification with Noisy Labels
Algorithms, 2023 Chest X-ray image classification suffers from the high inter-similarity in appearance that is vulnerable to noisy labels. The data-dependent and heteroscedastic characteristic label noise make chest X-ray image classification more challenging. To address
Qingji Guan, Qinrun Chen, Yaping Huang
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Pop‐net: A self‐growth network for popping out the salient object in videos
IET Computer Vision, 2021 It is a big challenge for unsupervised video segmentation without any object annotation or prior knowledge. In this article, we formulate a completely unsupervised video object segmentation network which can pop out the most salient object in an input ...
Hui Yin, Ning Chen, Lin Yang, Jin Wan
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A Multi-Side Fairness-Aware Recommendation System Based on a Pareto-Efficient Perspective
Taiyuan Ligong Daxue xuebao, 2022 In this paper proposed was a method to solve the multi-side fairness of the recommender system from the perspective of Pareto. It eliminates the sensitive attribute information in the user embedding through the adversarial regularizer, and adopts the ...
Qingyue DU, Xiaowen HUANG, Jitao SANG
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Face image synthesis from facial parts
EURASIP Journal on Image and Video Processing, 2022 Recently, inspired by the growing power of deep convolutional neural networks (CNNs) and generative adversarial networks (GANs), facial image editing has received increasing attention and has produced a series of wide-ranging applications. In this paper,
Qiushi Sun, Jingtao Guo, Yi Liu
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PattGAN: Pluralistic Facial Attribute Editing
IEEE Access, 2022 Facial attribute editing has witnessed substantial progress due to the increasing power of generative adversarial networks. However, existing methods mainly focus on improving the quality of facial attribute editing but ignore the diversity of facial ...
Qiushi Sun, Jingtao Guo, Yi Liu
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Detecting dense text in natural images
IET Computer Vision, 2020 Most existing text detection methods are mainly motivated by deep learning‐based object detection approaches, which may result in serious overlapping between detected text lines, especially in dense text scenarios.
Dianzhuan Jiang +6 more
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Consistency of functional connectivity across different movies
NeuroImage, 2021 Movie fMRI has emerged as a powerful tool for investigating human brain function, and functional connectivity (FC) plays a predominant role in fMRI-based studies.
Lixia Tian +4 more
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Mind the Seat Limit: On Capacity Management in Public Automated Shuttles
Frontiers in Human Dynamics, 2021 With ever growing automation of public transport automated shuttles offer an attractive alternative in areas where traffic regulations limit the deployment of large buses (city centres) or where low degrees of utilization renders the manual vehicles ...
Alexander G. Mirnig +6 more
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