Junshun Su
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View article: Reproducing the Few-Shot Learning Capabilities of the Visual Ventral Pathway Using Vision Transformers and Neural Fields
Reproducing the Few-Shot Learning Capabilities of the Visual Ventral Pathway Using Vision Transformers and Neural Fields Open
Background: Studies have shown that humans can rapidly learn the shape of new objects or adjust their behavior when encountering novel situations. Research on visual cognition in the brain further indicates that the ventral visual pathway …
Fast and lightweight automatic lithology recognition based on efficient vision transformer network Open
Traditional methods of lithological classification often rely on the expertise of appraisers and the use of sophisticated measuring instruments. These methods are susceptible to staff experience and are time-consuming. To overcome these li…
Unraveling mechanisms of electrolyte wetting process in three-dimensional electrode structures: Insights from realistic architectures Open
The advancement of lithium-ion batteries (LIBs) towards larger structures is considered the most efficient approach to enhance energy density in clean energy storage systems. However, this advancement poses significant challenges in terms …
Content Ecosystem Construction of Soul App: Analysis based on User Behavior Open
In the era of rapid development of mobile Internet, Soul App, as a new social star focusing on soul communication and interest matching, its content ecosystem construction is crucial to consolidate its market position and enhance user expe…
View article: Chinese named entity recognition with multi-network fusion of multi-scale lexical information
Chinese named entity recognition with multi-network fusion of multi-scale lexical information Open
Named entity recognition (NER) is an important part in knowledge extraction and one of the main tasks in constructing knowledge graphs. In today's Chinese named entity recognition (CNER) task, the BERT-BiLSTM-CRF model is widely used and o…
Enhanced Chinese Domain Named Entity Recognition: An Approach with Lexicon Boundary and Frequency Weight Features Open
Named entity recognition (NER) plays a crucial role in information extraction but faces challenges in the Chinese context. Especially in Chinese paleontology popular science, NER encounters difficulties, such as low recognition performance…
Fast and lightweight automatic lithology recognition based on efficient vision transformer network Open
Traditional lithology classification methods require the expertise of appraisers and a variety of complex measuring instruments, are easily influenced by staff experience, and are excessively labor-intensive. In order to solve the previous…
Public transportation transfer system problems and solutions Open
Papers presented at the 36th Southern African Transport Conference, CSIR International Convention Centre, Pretoria, South Africa on 10-13 July 2017.