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KVIA9h
A couple tried for 18 years to get pregnant. AI made it happen
After trying to conceive for 18 years, one couple is now pregnant with their first child thanks to the power of artificial intelligence. The couple had undergone several rounds of in vitro ...
IEEE1d
An Improved KNN Algorithm for Text Classification - IEEE Xplore
Among the many text classification algorithms based on vector space model, the effect of KNN(K-Nearest Neighbor) classifier is outstanding. For KNN classification algorithm, calculating the similarity ...
IEEE8d
Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Based on Global-to-Local Enhanced Channel Attention - IEEE Xplore
Cross-domain few-shot learning (FSL) has garnered significant attention in hyperspectral image classification (HSIC). However, current transfer learning (TL) approaches often struggle to effectively ...
IEEE11d
AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification - IEEE Xplore
Classifying the sub-categories of an object from the same super-category (e.g., bird species and cars) in fine-grained visual classification (FGVC) highly relies on discriminative feature ...
IEEE13d
A Framework for Endoscopic Image Classification Enhanced by Deep Transfer Learning - IEEE Xplore
In this paper, we propose a framework for endoscopic image classification based on deep transfer learning (TL), specifically designed to address the unique challenges of endoscopic medical image ...
IEEE23d
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models - IEEE Xplore
Generative models have been widely studied in computer vision. Recently, diffusion models have drawn substantial attention due to the high quality of their generated images. A key desired property of ...
IEEE26d
Integrating Local CNN and Global CNN for Script Identification in Natural Scene Images - IEEE Xplore
Script identification in natural scene images is a key pre-step for text recognition and is also an indispensable condition for automatic text understanding systems that are designed for ...
IEEE27d
MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching - IEEE Xplore
Many keypoint detection and description methods have been proposed for image matching or registration. While these methods demonstrate promising performance for single-modality image matching, they ...
Frontiers28d
A deep learning model for the localization and extraction of brain tumors from MR images using YOLOv7 and grab cut algorithm - Frontiers
Method: This paper presents a Deep Learning (DL)-based You Look Only Once (YOLOv7) model in combination with the Grab Cut algorithm to extract the foreground of the tumor image to enhance the ...
IEEE28d
Deep Learning-Enhanced Anti-Jamming Decoder for OTFS Systems: A CNN Bi-LSTM Hybrid Approach - IEEE Xplore
This paper addresses the challenge of anti-jamming in orthogonal time frequency space (OTFS) modulation systems by proposing a novel anti-jamming decoder. The design of this decoder presents ...
IEEE29d
Unsupervised Deep Learning-Based Error Image Prior (DLEIP) Algorithm for Lung Electrical Impedance Tomography (EIT) - IEEE Xplore
A novel unsupervised algorithm, named Deep Learning-based Error Image Prior (DLEIP), is proposed for lung Electrical Impedance Tomography (EIT). An Attention-gu ...