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Article
Context-aware adaptive network for UDA semantic segmentation
Unsupervised Domain Adaptation (UDA) plays a pivotal role in enhancing the segmentation performance of models in the target domain by mitigating the domain shift between the source and target domains. However,...
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Chapter and Conference Paper
Primary Side Control Method of Wireless Power Transmission System Based on Load Resistance Identification
The variation of load resistance of the magnetic coupling resonance wireless power transmission system has a great impact on the system performance. To address this problem, this paper analyzes the equivalent ...
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Chapter and Conference Paper
MS TextSpotter: An Intelligent Instance Segmentation Scheme for Semantic Scene Text Recognition in Asian Social Networks
Text detection and recognition in natural scenes is an im- important task in computer vision. However, most of the texts in natural scenes are curved, and the text background is complex and diverse. In recent ...
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Chapter and Conference Paper
HINCDG: Multi-Meta-Path Graph Auto-Encoders for Mining of Weak Association Malicious Domains
Due to the lack of interaction with other domain names or entities and the scarcity of access records, it is extremely challenging to detect malicious domain names in the early stages of the life cycle. The de...
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Article
Correlation tracking with implicitly extending search region
Recently, the correlation filters have been successfully applied to visual tracking, but the boundary effect severely limits their tracking performance. In this paper, to overcome this problem, we propose a co...
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Article
Modeling and controller optimization for current-fed isolated bidirectional DC–DC converters
Current-fed isolated bidirectional DC–DC converters (CF-IBDCs) play an important role in battery energy storage systems. However, the closed-loop dynamics is rather slow with conventional proportional–integral...
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Chapter and Conference Paper
Single View Depth Estimation via Dense Convolution Network with Self-supervision
Depth estimation from single image by deep learning is a hot topic of research nowadays. Existing methods mainly focus on learning neural network supervised by ground truth. This paper proposes a method for si...
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Chapter and Conference Paper
IPFRA: An Online Protocol Reverse Analysis Mechanism
Protocol reverse engineering is of great significance for discovering protocol vulnerabilities, improving protocol security and reusing protocol. The existing protocol reverse analysis methods usually need a g...
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Chapter and Conference Paper
Dense 3D Reconstruction and Tracking of Dynamic Surface
This essay addresses the problem of dense 3D reconstruction and tracking of dynamic surface from calibrated stereo image sequences. The primary contribution of this research topic is that a novel framework of ...
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Article
Co-metric: a metric learning algorithm for data with multiple views
We address the problem of metric learning for multi-view data. Many metric learning algorithms have been proposed, most of them focus just on single view circumstances, and only a few deal with multi-view data...
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Article
Radiation preparation and characterization of pH-sensitive hydrogel of acrylic acid/cyclodextrin based copolymer
A β-cyclodextrin (β-CD) based monomer (MAH-β-CD) containing vinyl and carboxyl functional groups was synthesized by reaction of β-CD with maleic anhydride (MAH). A novel hydrogel, poly(AAc-co-MAH-β-CD) with pH...