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- research-articleNovember 2024
Consistency-based semi-supervised learning for oriented object detection
AbstractSemi-Supervised Object Detection (SSOD) has emerged as a potent framework that leverages unlabeled data to reduce annotation costs while enhancing model performance. Nevertheless, existing SSOD methods primarily concentrate on the conventional ...
- research-articleOctober 2024
Single-cell transcriptome sequencing revealed the metabolic changes and microenvironment changes of cardiomyocytes induced by diabetes
Computational Biology and Chemistry (COBC), Volume 112, Issue Chttps://doi.org/10.1016/j.compbiolchem.2024.108136Abstract PurposeDiabetes is a chronic metabolic disorder characterized by elevated blood glucose levels. This study aimed to analyze the changes underlying heterogeneities and communication properties of CMs in diabetes mellitus (DM).
MethodsGSE213337 ...
Graphical AbstractDisplay Omitted
Highlights- The ratio of cardiomyocytes was increased in diabetes mellitus induced by streptozotocin.
- The CM showed the significant heterogeneities in DM.
- CM played an important role in myocardial fibrosis induce by hyperglycemia.
- research-articleJuly 2024
Research on Keyword Audio Mapping Library Based on Subjective Evaluation
- Pengchun Tang,
- Zepei Wang,
- Siqi Wang,
- Gareth Zhu,
- Jiaxin Wang,
- Yuanhua Lang,
- Wenjuan Shao,
- Weiming Huang,
- Shuang Yan
GAIIS '24: Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information SecurityPages 138–143https://doi.org/10.1145/3665348.3665373Although the subjective evaluation method is the most accurate evaluation method, how to use the advantages of the subjective evaluation method to study a practical research method that can meet the subjective perception of the audio mapping library has ...
- research-articleJuly 2023
Gaussian similarity-based adaptive dynamic label assignment for tiny object detection
- Ronghao Fu,
- Chengcheng Chen,
- Shuang Yan,
- Ali Asghar Heidari,
- Xianchang Wang,
- José Escorcia-Gutierrez,
- Romany F. Mansour,
- Huiling Chen
Graphical abstractDisplay Omitted
Highlights- GPM is presented to measure the similarity of tiny objects.
- GPM outperforms other IoU-based metrics.
- The ADAS is proposed to solve the inter-sample and intra-sample imbalance.
- The sufficient supervision information for network ...
Benefiting from the advanced deep learning techniques, significant achievements have been made in generic object detection. Tiny object detection (TOD) is a challenging task in computer vision due to the low resolution, insufficient geometric ...
- ArticleSeptember 2021
Towards an Efficient Framework for Data Extraction from Chart Images
Document Analysis and Recognition – ICDAR 2021Pages 583–597https://doi.org/10.1007/978-3-030-86549-8_37AbstractIn this paper, we fill the research gap by adopting state-of-the-art computer vision techniques for the data extraction stage in a data mining system. As shown in Fig. 1, this stage contains two subtasks, namely, plot element detection and data ...