Home »
Academic Articles & Research Papers
Showing 20 of 60 academic articles
Jin Wang, Zhenghua Yang, Dongming Zhou, Dongming Zhou et al. • Frontiers in Bioinformatics
(2026)
Medical image segmentation is a fundamental task in computer vision and plays an important role in clinical diagnosis and treatment planning. Existing methods are mainly built on either convolutional neural networks (CNNs) or Transformer-ba...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fbinf.2026.1849059
D. Zhong, D. Zhong, L. He, L. He et al. • ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2023)
Rapid access to the basic structure of village buildings is conducive to the investigation of the load-bearing bodies of village houses and provides data support for disaster assessment and post-disaster rescue and reconstruction. The devel...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-annals-X-1-W1-2023-295-2023
Jinyingming Zhang, Jin Liu, Xiongwei Xu, Peizhu Gong et al. • IEEE Access
(2020)
Segmenting characters in an image is a classic yet challenging task in computer vision. Correctly determining boundaries of adhesive characters with various scales and shapes is essential for character segmentation, especially for separatin...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3036545
Jhansi Rani Challapalli, Nagaraju Devarakonda • Machine Learning: Science and Technology
(2023)
Multi-person pose estimation (MPE) remains a significant and intricate issue in computer vision. This is considered the human skeleton joint identification issue and resolved by the joint heat map regression network lately. Learning robust ...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/2632-2153/acc9fc
Dong Wang, Yaowen Kang, Yibin Chen, Yuefang Gao et al. • Journal of King Saud University: Computer and Information Sciences
(2026)
Abstract Image inpainting is crucial for restoring missing or corrupted regions in images, with diverse applications in computer vision and digital content creation. Existing deep learning-based methods, however, often struggle with large o...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44443-026-00545-5
Chuanhui Shan, Xinlong Geng, Chao Han • Heliyon
(2024)
Extracting and detecting road network consistency from high-resolution remote sensing images has been a hot and difficult problem in the computer vision. Although it has made significant progress, there is still a phenomenon of high trainin...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2024.e37470
Vinodkumar Patil, Manisha Patil, Smital Patil, Satish Desale • Advances in Engineering and Intelligence Systems
(2026)
Accurate detection of brain tumors at early stages is crucial for clinical diagnosis and treatment planning. Magnetic Resonance Imaging (MRI) is the most popular method due to its soft-tissue contrast and spatial resolution. However, manual...
DOAJ
Open Access (DOAJ)
DOI: 10.22034/aeis.2026.570662.1424
Liu Yuxin • ITM Web of Conferences
(2025)
With the advent of the Transformer, the attention mechanism has been applied to Large Language Model (LLM), evolving from initial single- modal large models to today's multi-modal large models. This has greatly propelled the development of ...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/itmconf/20257302025
Jinxin Chen, Luo Liu, Peng Li, Wen Yao et al. • Agriculture
(2025)
The resting postures of piglets are crucial indicators for assessing their health status and environmental comfort. This study proposes a resting posture recognition method for piglets during lactation based on the PPR-YOLO model, aiming to...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/agriculture15030230
Jinzhou Luo, Jiazhao Sun, Xiaoli Hao, Heng Liu et al. • Insects
(2026)
Myzus persicae is the most devastating piercing-sucking pest threatening tobacco production. Precise quantification of infestation severity is a prerequisite for precision pest management, making the integration of visual image analysis hig...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/insects17030305
Meng-Hao Guo, Tian-Xing Xu, Jiangjiang Liu, Zheng-Ning Liu et al. • Computational Visual Media
(2022)
Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer vision with the aim of imitating this aspect of the human visual system. Such an ...
OPENALEX
cc-by
DOI: https://doi.org/10.1007/s41095-022-0271-y
Zhiwen Xiong, Yuanchun Li • Scientific Reports
(2026)
Abstract Salient object detection (SOD) plays a crucial role in computer vision by mimicking human visual attention to identify and segment the most prominent objects in a scene. The advent of depth sensing technologies has propelled RGB-D ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-56237-7
Dakang Guo, Jiatao Wang, Zeyuan Lin, Youfu Liu et al. • Poultry Science
(2026)
In the stereoscopic cage-rearing system, monitoring the individual egg production of laying ducks is essential for identifying low-yield individuals and optimizing breeding management. To overcome the high deployment cost of multi-sensor mo...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.psj.2026.106479
Ze Si, Dongmei Fu, Yang Liu, Zhicheng Huang • IET Image Processing
(2021)
Abstract Diabetic retinopathy (DR) is the main reason that causes preventable blindness. Hard exudate is one of the earliest signs of diabetic retinopathy. Precise detection of hard exudate is helpful for the early diagnosis of diabetic ret...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12007
Yuanbin WANG, Yaru GUO, Jia LIU, Xu WANG et al. • Meitan kexue jishu
(2024)
The complex underground environment, filled with a large amount of dust and water vapor, and uneven illumination of artificial light source, leads to problems such as low illumination and loss of detail features in images collected by under...
DOAJ
Open Access (DOAJ)
DOI: 10.12438/cst.2023-1597
Ahatesham Bhuiyan, Eftekhar Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan • Heliyon
(2024)
Image captioning, the process of generating natural language descriptions based on image content, has garnered attention in AI research for its implications in scene understanding and human-computer interaction. While much prior research ha...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2024.e36272
XIONG Zhongmin, ZENG Qi, LU Peng, WANG Zhenhua, ZHENG Zongsheng • Jisuanji gongcheng
(2023)
Logical reasoning is the ability to perceive patterns and connections between visual elements. Endowing computers with human-like reasoning ability is a critical area of research；state-of-the-art deep neural networks have achieved superhuma...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0064591
Yu Xiao, Xin Yang, Sijuan Huang, Lihua Guo • International Journal of Biomedical Imaging
(2025)
Conclusion: A multiscale feature pyramid network effectively reduces the semantic gap, and the bidirectional cross-attention mechanism facilitates feature alignment between the encoding and decoding stages....
DOAJ
Open Access (DOAJ)
DOI: 10.1155/ijbi/7560099
Gianni Brauwers, Flavius Frăsincar • IEEE Transactions on Knowledge and Data Engineering
(2021)
Attention is an important mechanism that can be employed for a variety of deep learning models across many different domains and tasks. This survey provides an overview of the most important attention mechanisms proposed in the literature. ...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tkde.2021.3126456
Shuaifeng Li, Heng Wang, Cong Zhang, Jie Liu • IEEE Access
(2022)
To address the problem that existing deep learning methods are not sufficiently accurate to detect rice pests with changeable shapes or similar appearances, a self-attention feature fusion model for rice pest detection (SAFFPest) was propos...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3194925