Learning Semantic-Aligned Feature Representation for Text-Based Person Search [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021 Text-based person search aims to retrieve images of a certain pedestrian by a textual description. The key challenge of this task is to eliminate the inter-modality gap and achieve the feature alignment across modalities.
Shiping Li, Min Cao, Min Zhang
semanticscholar +1 more source
KG4Py: A toolkit for generating Python knowledge graph and code semantic search
Connection science, 2022 In the era of big data, there are numerous duplicate code snippets on the Internet, it is especially necessary to make use of them to build new software projects.
Lu Liang, Yong Li, Ming Wen, Ying Liu
semanticscholar +1 more source
SOSRepair: Expressive Semantic Search for Real-World Program Repair
IEEE Transactions on Software Engineering, 2021 Automated program repair holds the potential to significantly reduce software maintenance effort and cost. However, recent studies have shown that it often produces low-quality patches that repair some but break other functionality.
Afsoon Afzal +4 more
semanticscholar +1 more source
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search [PDF]
IEEE Transactions on Software Engineering, 2021 Code search aims to retrieve accurate code snippets based on a natural language query to improve software productivity and quality. With the massive amount of available programs such as (on GitHub or Stack Overflow), identifying and localizing the ...
Shangqing Liu +4 more
semanticscholar +1 more source
COVID-19 preVIEW: Semantic Search to Explore COVID-19 Research Preprints
Medical Informatics Europe, 2021 During the current COVID-19 pandemic, the rapid availability of profound information is crucial in order to derive information about diagnosis, disease trajectory, treatment or to adapt the rules of conduct in public.
Lisa Langnickel +4 more
semanticscholar +1 more source
Extreme Multi-label Learning for Semantic Matching in Product Search [PDF]
Knowledge Discovery and Data Mining, 2021 We consider the problem of semantic matching in product search: given a customer query, retrieve all semantically related products from a huge catalog of size 100 million, or more.
Wei-Cheng Chang +11 more
semanticscholar +1 more source
Communications Biology, 2022 Creative ideas likely result from searching and combining semantic memory knowledge, yet the mechanisms acting on memory to yield creative ideas remain unclear.
Marcela Ovando-Tellez +8 more
semanticscholar +1 more source
Comparing the Performance of Information Retrieval of Semantic and Keyword Search Engines Based on Phrase Search [PDF]
نشریه مطالعات دانشپژوهی, 2023 Purpose: The aim of the research is to compare the performance of Information Retrieval of semantic and keyword search engines based on phrase search (simple & complex).Methodology: The present applied and semi-experimental research community includes ...
Hosein Bahari Varzaneh
doaj +1 more source
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation [PDF]
Computer Vision and Pattern Recognition, 2019 Recently, Neural Architecture Search (NAS) has successfully identified neural network architectures that exceed human designed ones on large-scale image classification. In this paper, we study NAS for semantic image segmentation.
Chenxi Liu +6 more
semanticscholar +1 more source
Semantic Search from Viewpoints of Iranian Authors of Scientific Publications on COVID-19 Indexed in PubMed [PDF]
کتابداری و اطلاعرسانیObjective: Various studies show that lexical or keyword search is not enough, because in this search the meaning of words and semantic relationships between keywords are ignored and semantic understanding is not achieved in this search.
Nahid Khooshian +2 more
doaj +1 more source