Pollen Grain Classification Using Some Convolutional Neural Network Architectures [0.03%]
基于几种卷积神经网络的花粉颗粒分类方法研究
Benjamin Garga,Hamadjam Abboubakar,Rodrigue Saoungoumi Sourpele et al.
Benjamin Garga et al.
The main objective of this work is to use convolutional neural networks (CNN) to improve the performance in previous works on their baseline for pollen grain classification, by improving the performance of the following eight popular archit...
Toward Unbiased High-Quality Portraits through Latent-Space Evaluation [0.03%]
基于潜在空间评估的无偏高质量人脸画像生成方法
Doaa Almhaithawi,Alessandro Bellini,Tania Cerquitelli
Doaa Almhaithawi
Images, texts, voices, and signals can be synthesized by latent spaces in a multidimensional vector, which can be explored without the hurdles of noise or other interfering factors. In this paper, we present a practical use case that demons...
Yankun Wu,Yuta Nakashima,Noa Garcia
Yankun Wu
The content-style duality is a fundamental element in art. These two dimensions can be easily differentiated by humans: content refers to the objects and concepts in an artwork, and style to the way it looks. Yet, we have not found a way to...
Impact of Color Space and Color Resolution on Vehicle Recognition Models [0.03%]
颜色空间和颜色分辨率对车辆识别模型的影响
Sally Ghanem,John H Holliman nd
Sally Ghanem
In this study, we analyze both linear and nonlinear color mappings by training on versions of a curated dataset collected in a controlled campus environment. We experiment with color space and color resolution to assess model performance in...
What to Expect (and What Not) from Dual-Energy CT Imaging Now and in the Future? [0.03%]
当前及未来双能量CT成像的展望与挑战
Roberto García-Figueiras,Laura Oleaga,Jordi Broncano et al.
Roberto García-Figueiras et al.
Dual-energy CT (DECT) imaging has broadened the potential of CT imaging by offering multiple postprocessing datasets with a single acquisition at more than one energy level. DECT shows profound capabilities to improve diagnosis based on its...
A Study on Data Selection for Object Detection in Various Lighting Conditions for Autonomous Vehicles [0.03%]
针对自动驾驶汽车在各种光照条件下的目标检测的数据选择研究
Hao Lin,Ashkan Parsi,Darragh Mullins et al.
Hao Lin et al.
In recent years, significant advances have been made in the development of Advanced Driver Assistance Systems (ADAS) and other technology for autonomous vehicles. Automated object detection is a crucial component of autonomous driving; howe...
Efficient Wheat Head Segmentation with Minimal Annotation: A Generative Approach [0.03%]
基于最小标注的高效小麦穗分割：一种生成式方法
Jaden Myers,Keyhan Najafian,Farhad Maleki et al.
Jaden Myers et al.
Deep learning models have been used for a variety of image processing tasks. However, most of these models are developed through supervised learning approaches, which rely heavily on the availability of large-scale annotated datasets. Devel...
Robust PCA with Lw,∗ and L2,1 Norms: A Novel Method for Low-Quality Retinal Image Enhancement [0.03%]
基于Lw,∗和L2,1范数的稳健PCA：一种低质量视网膜图像增强的新方法
Habte Tadesse Likassa,Ding-Geng Chen,Kewei Chen et al.
Habte Tadesse Likassa et al.
Nonmydriatic retinal fundus images often suffer from quality issues and artifacts due to ocular or systemic comorbidities, leading to potential inaccuracies in clinical diagnoses. In recent times, deep learning methods have been widely empl...
Color Biomimetics in Textile Design: Reproduction of Natural Plant Colors through Instrumental Colorant Formulation [0.03%]
仿生色彩在纺织设计中的应用：通过仪器染色剂配方复制自然植物色彩
Isabel Cabral,Amanda Schuch,Fernanda Steffens
Isabel Cabral
This paper explores the intersection of colorimetry and biomimetics in textile design, focusing on mimicking natural plant colors in dyed textiles via instrumental colorant formulation. The experimental work was conducted with two polyester...
Jiayu Huang,Varin Chouvatut
Jiayu Huang
Sign language recognition technology can help people with hearing impairments to communicate with non-hearing-impaired people. At present, with the rapid development of society, deep learning also provides certain technical support for sign...