IEEE

Cultural Bias in Text-to-Image Models: A Systematic Review of Bias Identification, Evaluation, and Mitigation Strategies

Abstract: Despite their continuous advancements, text-to-image (TTI) models often reflect and reinforce cultural biases, perpetuating stereotypes often inherent in their training data. This systematic ...
IEEE

Homogeneous and Heterogeneous Feature Learning Based on Large Models for Unsupervised Text-to-Image Person Re-Identification

Abstract: Text-to-image person re-identification (TIReID) aims to identify and retrieve target pedestrians according to given textual queries. Driven by enormous annotated data, existing supervised ...
IEEE

Wavelet-Enhanced CNN-Transformer Hybrid Network for Semantic Segmentation of Multi-Scale Geospatial Objects

Abstract: Semantic segmentation of remote sensing imagery has achieved pixel-level precision in land cover classification through deep learning and computer vision technologies, providing automated ...
IEEE

Latest Trends in Face Recognition using CNN

Abstract: Face Recognition is a computer vision technology that identifies or verifies a person’s identity using a person’s facial features. It is widely used in different fields like security, ...
IEEE

Advances in Yoga Training Tools: A CNN-RF Based Pose Identification System

Abstract: A hybrid model that is presented in this article is called CNN-RF which uses convolutional Neural Networks in conjunction with Random Forest algorithms. There is a novel model that supports ...
IEEE

Transformer-Based Object Detection in Low-Altitude Maritime UAV Remote Sensing Images

Abstract: Object detection technology plays an essential role in uncrewed aerial vehicle (UAV) sea search and rescue missions, which aim to quickly locate crucial targets such as trapped people and ...
IEEE

Identification and Classification of Medicinal Plants Using Resnet V2 CNN Architecture

Abstract: Identifying medicinal plants is crucial in herbal medicine, pharmaceutical research, and plant taxonomy. Conventional manual classification techniques tend to be errorprone and ...
IEEE

Semi-Supervised Salient Object Detection for Side-Scan Sonar Images via Entropy-Based Uncertainty and Contrastive Learning

Abstract: Recently, the field of salient object detection (SOD) in underwater sonar images has gradually gained attention. Benefiting from the advancements in deep learning technologies and insights ...
CNN

New images show an interstellar comet that will soon make its closest approach to Earth

The Hubble Space Telescope and the Jupiter Icy Moons Explorer have captured fresh images of an interstellar comet as the object nears its closest approach to Earth later this month. Comet 3I/ATLAS has ...
IEEE

Position-DETR: Step-by-Step Position-Guided Small Object Detection in Remote Sensing Images

Abstract: Detecting small objects in remote sensing images is highly challenging, primarily due to background noise interference and the limited semantic information of small objects. Although ...
Mediaite

‘The Answer Is No’: CNN’s John Berman Answers Own Question After Senator Objects

A frustrated John Berman answered his own question about U.S. strikes on alleged drug boats during a contentious exchange with Sen. Tom Cotton (R-AR). Berman guest-hosted Friday’s edition of The Lead ...
IEEE

Hybrid CNN-Based Transfer Learning Enhances Brain Tumor Classification on MRI Images

Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...