过去一年中添加的文章,按日期排序

SWC-Net and Multi-Phase Heterogeneous FDTD Model for Void Detection Underneath Airport Pavement Slab

Y Zhang, Z Tong, X She, S Wang… - … Systems, 2024 - ieeexplore.ieee.org
3 天前 - … Existing methods mainly use ground penetrating radar (GPR) images and deep
learning to detect the voids but face two problems: inherent limitation of image-wise deep …

DIA-VXNET: A framework for automated diabetic eye disease detection using transfer learning with feature fusion network

MN Hasan, MER Pial, S Das, N Siddique… - … Signal Processing and …, 2025 - Elsevier
3 天前 - … that are well-suited for image recognition and analysis tasks, as they can effectively
learn … an image processing method used to reduce noise and soften sharp edges in images. …

Contrastive learning explains the emergence and function of visual category-selective regions

JS Prince, GA Alvarez, T Konkle - Science Advances, 2024 - science.org
4 天前 - … For comparison with a supervised face recognition model, we used another AlexNet
variant … loss and SGD for 100 epochs, adopting the default image transformation scheme. …

Navigation Aid System for Blind People Using Artificial Intelligence Algorithms

AY BOUCHA, LY BRAHNA - 2024 - repository.esi-sba.dz
4 天前 - … environmental images, providing users … systems employ natural language
processing to understand user queries and offer informative responses. Voice recognition systems

[HTML][HTML] How to Make Flower Borders Benefit Public Emotional Health in Urban Green Space: A Perspective of Color Characteristics

Z Wan, X Shen, Y Cai, Y Su, Z Ren, Y Xia - Forests, 2024 - mdpi.com
4 天前 - … In this study, 24 sample images were used as experimental materials, which selected
based on their color richness and harmony. Additionally, face recognition technology and …

From farm to market: research progress and application prospects of artificial intelligence in the frozen fruits and vegetables supply chain

L Zhang, M Zhang, AS Mujumdar, Y Chen - … in Food Science & Technology, 2024 - Elsevier
4 天前 - … , machine vision combined with image processing technology can accurately detect
weeds … At the same time, through the detection, fusion and data accumulation of images, the …

From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing

I DeAndres-Tame, M Faisal, R Tolosana… - arXiv preprint arXiv …, 2024 - arxiv.org
4 天前 - … which the prediction on the pair images is wrong. Users can prompt various questions
about the facial recognition results, decision-making process, confidence levels, metrics, …

Adversarial Watermarking for Face Recognition

Y Yao, A Jain, S Liu - arXiv preprint arXiv:2409.16056, 2024 - arxiv.org
4 天前 - … , with the aim of robustness against common image processing attacks [22, 23]. In
… the watermarking process preserves critical facial features essential for accurate recognition […

[HTML][HTML] Emotion-net: Automatic emotion recognition system using optimal feature selection-based hidden markov CNN model

BH Krishna, JSR Victor, GS Rao, CRK Babu… - Ain Shams Engineering …, 2024 - Elsevier
4 天前 - … For image and video data, face identification and cropping using the Haar algorithm
face detection, identifying and isolating the facial region from the background in each image

[HTML][HTML] Research on the Cable-to-Terminal Connection Recognition Based on the YOLOv8-Pose Estimation Model

X Qu, Y Long, X Wang, G Hu, X Tao - Applied Sciences, 2024 - mdpi.com
5 天前 - … Traditional 2D image processing techniques can no … , while 3D connection
recognition technology based on pose … A database forstudying face recognition in unconstrained …