Query：
学者姓名：林志贤
Refining：
Year
Type
Indexed by
Source
Complex
Co-
Language
Clean All
Abstract ：
针对野生动物数据集样本量小、目标尺度多变所导致的野生动物检测困难以及检测精度低等问题,提出一种基于多尺度上下文提取的小样本野生动物检测(MS-FSWD)算法.首先,通过多尺度上下文提取模块增强模型对不同尺度的野生动物的感知能力,提高检测性能;其次,引入Res2Net作为原型校准模块的强分类网络对分类器输出的分类分数进行校正;然后,在RPN中加入置换注意力机制,增强目标区域的特征图,弱化背景信息;最后,将平衡L1损失作为定位损失函数,提升目标定位性能.实验结果表明,相比DeFRCN算法,MS-FSWD在小样本野生动物数据集FSWA上,1-shot和3-shot检测任务中新类AP50分别提升了9.9%和6.6%;在公共数据集PASCAL VOC上,MS-FSWD最高提升了12.6%.与VFA算法相比,在PASCAL VOC数据集Novel Set 3的10-shot任务中,新类AP50提升了3.3%.
Keyword ：
多尺度上下文提取 多尺度上下文提取 小样本目标检测 小样本目标检测 注意力机制 注意力机制 迁移学习 迁移学习 野生动物检测 野生动物检测
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 刘珂 , 林珊玲 , 师欣雨 et al. 基于多尺度上下文提取的小样本野生动物检测 [J]. | 液晶与显示 , 2025 , 40 (3) : 516-526 . |
| MLA | 刘珂 et al. "基于多尺度上下文提取的小样本野生动物检测" . | 液晶与显示 40 . 3 (2025) : 516-526 . |
| APA | 刘珂 , 林珊玲 , 师欣雨 , 林坚普 , 吕珊红 , 林志贤 et al. 基于多尺度上下文提取的小样本野生动物检测 . | 液晶与显示 , 2025 , 40 (3) , 516-526 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
针对当前三维目标检测由于数据增强导致点云和图像无法有效对齐,点与点对齐方法会丢失图像特征以及定位和分类置信度不一致的问题,提出一种多模态融合的三维目标检测方法.首先,采用PointNet++提取点云的特征;采用卷积神经网络提取图像特征;其次,在点云与图像融合阶段,采用语义对齐方法以及图像球特征,实现点云与图像更好的跨模态对齐.同时采用基于注意力的方法来指导点云与图像特征的融合,以获取更可靠的图像特征;最后引入DIoU损失来平衡置信度不一致的问题.实验结果表明:所采用的方法明显优于baseline,在简单、中等和困难任务下,Car类别的mAP达85.6%.
Keyword ：
多模态融合 多模态融合 彩色图像 彩色图像 激光雷达 激光雷达 自动驾驶 自动驾驶
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 韩路宇 , 林珊玲 , 赵民 et al. 基于球语义多模态融合的三维目标检测 [J]. | 光电子技术 , 2025 , 45 (1) : 75-81 . |
| MLA | 韩路宇 et al. "基于球语义多模态融合的三维目标检测" . | 光电子技术 45 . 1 (2025) : 75-81 . |
| APA | 韩路宇 , 林珊玲 , 赵民 , 林志贤 , 郭太良 . 基于球语义多模态融合的三维目标检测 . | 光电子技术 , 2025 , 45 (1) , 75-81 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
针对目前驾驶员疲劳检测算法存在检测过程复杂、参数多、精度低、运行速度慢等问题,提出了一种基于改进YOLOv8n-Pose的轻量级模型.该模型优化了YOLOv8n-Pose的结构.首先,在模型主干网络中,引入Ghost卷积减少模型参数量和不必要的卷积计算.其次,引入Slim-neck融合主干网络提取的不同尺寸特征,加速网络预测计算.同时在颈部网络添加遮挡感知注意力模块(SEAM),强调图像中的人脸区域并弱化背景,改善关键点定位效果.最后,在检测头部分提出一种GNSC-Head结构,引入共享卷积,并将传统卷积的BN层优化成更稳定的GN层,有效节省模型的参数空间和计算资源.实验结果显示,改进后的YOLOv8n-Pose相较于原始算法,mAP@0.5提高了0.9%,参数量和计算量各减少了50%,同时FPS提高了8%,最终的疲劳驾驶识别率达到93.5%.经验证,本文算法在轻量化的同时能够保持较高的检测精度,并且能够有效识别驾驶员状态,为车辆边缘设备的部署提供有力支撑.
Keyword ：
YOLOv8n-Pose YOLOv8n-Pose 注意力机制 注意力机制 深度学习 深度学习 疲劳驾驶检测 疲劳驾驶检测 轻量化 轻量化
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 蔡忠祺 , 林珊玲 , 林坚普 et al. 基于改进YOLOv8n-Pose的疲劳驾驶检测 [J]. | 液晶与显示 , 2025 , 40 (4) : 617-629 . |
| MLA | 蔡忠祺 et al. "基于改进YOLOv8n-Pose的疲劳驾驶检测" . | 液晶与显示 40 . 4 (2025) : 617-629 . |
| APA | 蔡忠祺 , 林珊玲 , 林坚普 , 吕珊红 , 林志贤 , 郭太良 . 基于改进YOLOv8n-Pose的疲劳驾驶检测 . | 液晶与显示 , 2025 , 40 (4) , 617-629 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
电润湿电子纸采用减色混色系统进行色彩显示,色域较小,容易发生色彩失真,且依赖环境光的漫反射,亮度不足.为解决这些问题,提出一种基于彩色电润湿的色彩空间转换和图像自适应增强算法.该算法将图像从RGB色彩空间转换到HSV空间,并使用CLAHE对饱和度进行均匀分布处理,改善色彩表现.亮度通道通过引导滤波和改进的Retinex算法进行增强,保留细节与边缘信息,使电润湿电子纸在相同光照下依旧保持真实视觉效果.实验结果表明,该算法在PSNR、SSIM、FSIM和FSIMc上分别提高了19%、10.8%、19.19%和19.54%,显著优化电润湿电子纸的显示效果,为其市场化应用提供有力支撑.
Keyword ：
图像增强 图像增强 彩色电润湿电子纸 彩色电润湿电子纸 直方图均衡 直方图均衡 色彩空间变换 色彩空间变换
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 毛文杰 , 林珊玲 , 林坚普 et al. 基于色彩空间变换的电润湿电子纸色彩校正 [J]. | 光电工程 , 2025 , 52 (2) : 32-45 . |
| MLA | 毛文杰 et al. "基于色彩空间变换的电润湿电子纸色彩校正" . | 光电工程 52 . 2 (2025) : 32-45 . |
| APA | 毛文杰 , 林珊玲 , 林坚普 , 梅婷 , 王廷雨 , 蔡苾芃 et al. 基于色彩空间变换的电润湿电子纸色彩校正 . | 光电工程 , 2025 , 52 (2) , 32-45 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Inadequate exposure of imaging devices in low-light environments results in a loss of image information, significantly deteriorating the image quality. However, current low-light image enhancement algorithms commonly suffer from issues such as color distortion and loss of fine details and textures. In this paper, we propose a frequency-guided dual-collapse Transformer (FDCFormer) network. First, in response to color distortion after enhancement, we propose a dual-collapse Transformer that effectively aggregates features from both spatial and channel dimensions, thus capturing global information. Subsequently, because relying solely on enhancement in the spatial domain often makes it difficult to preserve fine details and textures, we design multiple mixed residual fast Fourier transform blocks as additional frequency information guidance branches, focusing on local detail information at the image edges. Additionally, we employ an adaptive dual-domain information fusion module that combines spatial domain and frequency domain information to enrich the final output features. Extensive experiments on multiple publicly available datasets demonstrate that our FDCFormer outperforms state-of-the-art methods, exceeding Retinexformer by up to 0.93 dB on average across five paired datasets. We also employ our method as a preprocessing step in dark detection, our method improves mean average precision (mAP) by 1.9% over the baseline model on ExDark dataset, revealing the latent practical values of our method. The corresponding codes will be available at https://github.com/Fly175/FDCFormer.
Keyword ：
Dual-domain fusion Dual-domain fusion Fourier frequency information Fourier frequency information Low-light image enhancement Low-light image enhancement Vision transformer Vision transformer
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Lin, Jianpu , Lai, Fangwei , Lin, Shanling et al. Frequency-guided dual-collapse Transformer for low-light image enhancement [J]. | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , 2025 , 142 . |
| MLA | Lin, Jianpu et al. "Frequency-guided dual-collapse Transformer for low-light image enhancement" . | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 142 (2025) . |
| APA | Lin, Jianpu , Lai, Fangwei , Lin, Shanling , Lin, Zhixian , Guo, Tailiang . Frequency-guided dual-collapse Transformer for low-light image enhancement . | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , 2025 , 142 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Due to the simple structure, single-contact light-emitting diode (SC-LED) holds promise for applications in ultrahigh resolution micro-displays. However, the required alternating current (ac) operation poses challenges for grayscale modulation in image display applications. Therefore, it is of great significance to develop a potential grayscale control technology for the ac-driven SC-LEDs. In this work, the optical and electrical characteristics of the SC-LEDs are investigated, and an anomalous pulsewidth modulation (A-PWM) technology is proposed. In the A-PWM mode, the brightness decreases with the increasing pulsewidth, which is totally different from conventional pulsewidth modulation. The carrier transport model and the circuit model are established to clarify the A-PWM mechanism. Furthermore, the brightness division is carried out on the basis of the A-PWM, and the human eye brightness perception model is established. Nonlinear correction is applied to align the brightness change with the characteristics of human eye perception. This work proposes a brightness modulation method suitable for SC-LEDs, which is expected to be applied to ac-driven nano-pixel light-emitting displays.
Keyword ：
Alternating current (ac)-driven Alternating current (ac)-driven anomalous-pulsewidth modulation anomalous-pulsewidth modulation gallium nitride light-emitting diode (GaN-LED) gallium nitride light-emitting diode (GaN-LED) grayscale control grayscale control human perceptual characteristics human perceptual characteristics
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Xiao, Tianyu , Wang, Kun , Li, Wenhao et al. Anomalous-Pulsewidth Modulation of Single-Contact Light-Emitting Diode for Grayscale Control [J]. | IEEE TRANSACTIONS ON ELECTRON DEVICES , 2024 , 71 (1) : 651-655 . |
| MLA | Xiao, Tianyu et al. "Anomalous-Pulsewidth Modulation of Single-Contact Light-Emitting Diode for Grayscale Control" . | IEEE TRANSACTIONS ON ELECTRON DEVICES 71 . 1 (2024) : 651-655 . |
| APA | Xiao, Tianyu , Wang, Kun , Li, Wenhao , Zhang, Yongai , Zhou, Xiongtu , Lin, Shanling et al. Anomalous-Pulsewidth Modulation of Single-Contact Light-Emitting Diode for Grayscale Control . | IEEE TRANSACTIONS ON ELECTRON DEVICES , 2024 , 71 (1) , 651-655 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Aiming at the problem of low accuracy of the method for solar cell defect detection, a surface defect detection algorithm based on the improved YOLOv5s solar cell is proposed. First, in order to solve the problem of small target defect detection on the cell sheet, the Contextual Transformer Network (CoT) is proposed, which can provide global contextual information for small targets and the model better at predicting small targets. Secondly, by adding CBAM attention to the C3 module in the Head part, the important channels and spatial locations of the input feature maps can be better captured to improve the performance and robustness of the model. Next, the integrity of feature information is ensured by using CARAFE, a lightweight generalized up-sampling operator, to reduce the loss of feature information during up-sampling. Finally, by using WIoU as the bounding box loss function, the accuracy of the regression can be greatly improved and the convergence of model can be achieved quickly. The experimental results show that compared with the original algorithm, the improved YOLOv5s improves the three indicators of Precision, Recall, and mAP@0. 5 by 5. 5%, 4. 1%, and 3. 3% respectively, and the detection speed reaches 76 FPS, which meets the requirements of solar cell defect detection. © 2024, Science Press. All rights reserved.
Keyword ：
CARAFE CARAFE contextual transformer network contextual transformer network loss function loss function solar cell solar cell YOLOv5s YOLOv5s
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Peng, X. , Lin, S. , Lin, Z. et al. Defect detection algorithm of improved YOLOv5s solar cell [J]. | Chinese Journal of Liquid Crystals and Displays , 2024 , 39 (2) : 237-247 . |
| MLA | Peng, X. et al. "Defect detection algorithm of improved YOLOv5s solar cell" . | Chinese Journal of Liquid Crystals and Displays 39 . 2 (2024) : 237-247 . |
| APA | Peng, X. , Lin, S. , Lin, Z. , Guo, T. . Defect detection algorithm of improved YOLOv5s solar cell . | Chinese Journal of Liquid Crystals and Displays , 2024 , 39 (2) , 237-247 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
To address the issue of low recognition accuracy in lightweight algorithms for steel surface defect detection, this paper introduces a Multi-scale Enhanced Feature Fusion (EFF) technique. Initially, an Adaptive Weighted Fusion (AWF) module calculates fusion weights adaptively for different feature levels. This allows shallow features to enrich with deep semantics without compromising detail. Subsequently, the Spatial Feature Enhancement (SFE) module boosts the fused features from three distinct directions and improves network stability by integrating residual pathways, enabling the convolution process to extract more critical information. The model then selects better training samples based on the overlap between the prior box and the ground truth. Experimental outcomes show that the proposed method achieves a detection accuracy of 80.47%, marking a 6.81% increase over the baseline algorithm. Moreover, with 2.36 M parameters and 952.67 MFLOPs, this algorithm efficiently and accurately identifies steel surface defects, demonstrating significant practical utility. © 2024 Chinese Academy of Sciences. All rights reserved.
Keyword ：
Convolution Convolution Feature extraction Feature extraction Semantics Semantics Surface defects Surface defects
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Lin, Shanling , Peng, Xueling , Wang, Dong et al. Object detection of steel surface defect based on multi-scale enhanced feature fusion [J]. | Optics and Precision Engineering , 2024 , 32 (7) : 1075-1086 . |
| MLA | Lin, Shanling et al. "Object detection of steel surface defect based on multi-scale enhanced feature fusion" . | Optics and Precision Engineering 32 . 7 (2024) : 1075-1086 . |
| APA | Lin, Shanling , Peng, Xueling , Wang, Dong , Lin, Zhixian , Lin, Jianpu , Guo, Tailiang . Object detection of steel surface defect based on multi-scale enhanced feature fusion . | Optics and Precision Engineering , 2024 , 32 (7) , 1075-1086 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Electrophoretic display (EPD) has the same reflective and wide viewing angle characteristics as paper, and also has the advantages of low power consumption and bistability. At the sametime, its eye protection characteristics are deeply loved by the public, so that people have more expectations for color EPD, but there are still problems such as poor quality and jagged edges of the display image. Due to the limitation of the grayscale range caused by the driver chip and the driving mode of EPDs, when the256-level grayscale image on the PC is put on the EPD for display, the driving circuit system will compress the grayscale. This results in a loss of detail, a step jump in the image, and a lack of clarity in the texture. In order to solve the above problems, a multi-level error diffusion algorithm based on edge enhancement is proposed. The dataset KODIM was selected as the experimental object, compared with the traditional error diffusion algorithm, the image quality evaluation index PSNR is improved by 22.4%-30.8%, and SSIM is closer to 1. And the EPD shows more image details, which brings a better visual experience to the users of epaper. © 2024 John Wiley and Sons Inc. All rights reserved.
Keyword ：
Color Color Diffusion Diffusion Errors Errors Eye protection Eye protection Image enhancement Image enhancement Textures Textures
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Xinxin, Xie , Ting, Mei , Jianhao, Zhang et al. A multi-level error diffusion algorithm based on edge enhancement of color electrophoretic displays [C] . 2024 : 1258-1261 . |
| MLA | Xinxin, Xie et al. "A multi-level error diffusion algorithm based on edge enhancement of color electrophoretic displays" . (2024) : 1258-1261 . |
| APA | Xinxin, Xie , Ting, Mei , Jianhao, Zhang , Zhixian, Lin , Shanling, Lin . A multi-level error diffusion algorithm based on edge enhancement of color electrophoretic displays . (2024) : 1258-1261 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Due to the hysteresis characteristics of electrowetting display, the luminance of the same driving voltage is different in the voltage rising stage and the voltage falling stage. In this paper, a gray distortion correction method for hysteresis characteristics of electrowetting display is proposed. Firstly, by measuring the influence of hysteresis characteristics on the photoelectric curve under different voltage ranges, the hysteresis curve model of electrowetting display was established by fitting the measured data. Based on this, the driving voltage mapping relationship of the same gray scale in different scenes is constructed, and finally the effect of reducing the luminance difference is achieved to reduce the gray distortion. Experimental results show that the proposed scheme can effectively reduce the degree of distortion, and the maximum gray‐scale relative luminance difference is reduced from 20.07% to 0.01%, and the reduction ratio is 99.93%. The relative luminance difference was reduced by 10.84% on average, and the reduction ratio was 80.98%. The oil aperture ratio distortion is reduced from 5.67% to 0.13%, and the reduction ratio is 97.7%.
Keyword ：
Driving mode Driving mode Electrowetting display Electrowetting display Gray scale Gray scale Hysteresis phenomenon Hysteresis phenomenon Voltage modulation Voltage modulation
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Ting Mei , Ziyu Xie , Shanling Lin et al. P‐10.6: Research on gray scale distortion correction method for hysteresis characteristics of electrowetting diaplay [J]. | SID Symposium Digest of Technical Papers , 2024 , 55 : 1249-1257 . |
| MLA | Ting Mei et al. "P‐10.6: Research on gray scale distortion correction method for hysteresis characteristics of electrowetting diaplay" . | SID Symposium Digest of Technical Papers 55 (2024) : 1249-1257 . |
| APA | Ting Mei , Ziyu Xie , Shanling Lin , Bipeng Cai , Zhixian Lin . P‐10.6: Research on gray scale distortion correction method for hysteresis characteristics of electrowetting diaplay . | SID Symposium Digest of Technical Papers , 2024 , 55 , 1249-1257 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Export
| Results： |
Selected to |
| Format： |
