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Found 5 papers, 1 papers with code
Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity
Transfer learning provides the possibility to solve this problem, but there are too many features in natural images that are not related to the target domain.
Multi-source adversarial transfer learning based on similar source domains with local features
In order to ensure that the data from the target domain in different sub-networks in the same batch is exactly the same, we designed a multi-source domain independent strategy to provide the possibility for later local feature fusion to complete the key features required.
Task-Oriented Communication with Out-of-Distribution Detection: An Information Bottleneck Framework
Task-oriented communication is an emerging paradigm for next-generation communication networks, which extracts and transmits task-relevant information, instead of raw data, for downstream applications.
Temporal Action Localization using Long Short-Term Dependency
In the present study, we developed a novel method, referred to as Gemini Network, for effective modeling of temporal structures and achieving high-performance temporal action localization.
AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation
The proposed framework is combined with new strategies, such as reference adaptation and adaptive local mating, to solve different types of problems.
