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Joint dual-teacher distillation and unsupervised fusion for unpaired real-world image dehazing
Existing learning-based dehazing algorithms struggle to deal with real world hazy images for lack of paired clean data. Moreover, most dehazing...
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Dual-student knowledge distillation for visual anomaly detection
Anomaly detection poses a significant challenge in the industry and knowledge distillation constructed using a frozen teacher network and a trainable...
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DWDM: Dynamically Weighted Three-Domain Mixing for Domain-Adaptive Semantic Segmentation
In unsupervised domain adaptation (UDA), the aim is to adapt a model trained on source data to target data without having access to target...
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Dual discriminator adversarial distillation for data-free model compression
Knowledge distillation has been widely used to produce portable and efficient neural networks which can be well applied on edge devices for computer...
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A new method to generate artificial microstructure of dual phase steel using Teacher-Learner Based Optimization
The dual phase steels are widely used in the manufacturing and automobile industry. The micromechanical analysis of the dual phase steel using...
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Research on the Ability and Quality Index of “Double-Position and Dual-Ability” Teachers in the Applied Undergraduate Colleges
At present, in China’s economic and social field, the industrial structure is constantly optimized, adjusted, transformed and upgraded, and the mode...
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Towards an Enhanced and Lightweight Face Authentication System
Face recognition is one of the most well-adopted ways to verify someone’s identity, which however might be spoofed by presenting for example a fake...
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Novel fuzzy knowledge and accuracy measures with its applications in multi-criteria decision-making
Entropy is regarded as a numerical representation of the degree of uncertainty concerning a random variable. However, the knowledge associated with...
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Image Education and Visual Digital Storytelling
The contribution presents the results of an experiment conducted in the context of the iconography and iconology workshops of the Single cycle degree...
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Heterogeneous dual network with feature consistency for domain adaptation person re-identification
To reduce the noisy pseudo-labels generated by clustering for unsupervised domain adaptation (UDA) person re-identification (re-ID), the method of...
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Dynamic image data processing technology application in dance classroom assisted teaching under virtual environment
At present, some challenges and problems existing in dance teaching have brought certain problems to the improvement of dance teaching level....
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Application of the Elements of the Dual System of Education in Higher Educational Institutions
The need to implement the state policy of the country’s transition to an innovative path of development implies significant changes in the system of...
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Application of android voice assistant based on parallel storage in multimedia English teaching platform
In recent years, supercomputing technology has become more and more important in scientific research and economic construction, and its application...
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A knowledge distillation based cross-modal learning framework for the lithium-ion battery state of health estimation
The accurate prediction of a lithium-ion battery’s State of Health is of critical importance for efficient battery health management. Existing...
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Information Modeling of Dual Education in the Field of IT
Modern approaches to the organization of the educational process generate a need for the introduction of dual education. Such approach is...
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Multi-Consistency Training for Semi-Supervised Medical Image Segmentation
Medical image segmentation is a crucial task in clinical applications. However, obtaining labeled data for medical images is often challenging. This...
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Digitization in the Field of Engineering Teacher Training
In order to teach in German vocational colleges/vocational schools or Austrian vocational schools so called HTL both secondary level II, engineers...
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A Study of Early-Career Female Faculty’s Perceptions of Their Roles and Responsibilities in Computer Science and Engineering
Guided by positioning and affordance theories, this qualitative study explored female faculty’s perceptions of their roles and responsibilities in...
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Exploring multimodal data analysis for emotion recognition in teachers’ teaching behavior based on LSTM and MSCNN
The diverse range of emotions exhibited in instructional behavior exerts a profound influence on the effectiveness of teaching and the cognitive...
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Ensemble Knowledge Distillation for Edge Intelligence in Medical Applications
The “bucket of models” ensemble technique for search of the best-per-family model and then the best-among-families model of some DNNDeep Neural...