Top AI Image & Video Models : Easy AI Visuals, Music, SFX and Voiceovers

Create in minutes with Artlist, which includes GPT Image 1.5 and Sora, allowing quick prompts to polished visuals and easy exports.
IEEE

Image Classification using Quantum Convolutional Neural Network (QCNN)

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...
IEEE

Explaining Fine-Grained Image Classification Using Evolutionary Search and the Stable Diffusion Model

Abstract: Deep learning models have shown impressive performance across a range of computer vision tasks. However, their lack of transparency limits their adoption in tasks where a clear understanding ...
IEEE

FCTFANet: A Fused CNN-Transformer Feature Aggregator Network for Image Restoration

Abstract: Convolutional neural networks (CNNs) have been foundational in deep learning architectures for image processing, and recently, Transformer networks have emerged, bringing further ...
IEEE

A YOLO-Assisted Framework for Potato Leaf Disease Detection and Classification using CNN and Multi-Head Attention Mechanism

Abstract: Potato leaf diseases create a serious threat to the production of agriculture, leading to large yield losses and economic challenges. Accurate and timely detection has become crucial for ...
IEEE

Hyperspectral Image Classification Using Gated Adaptable Convolutional-Based Kolmogorov–Arnold Network

Abstract: Vision transformers (ViTs) and convolutional neural networks (CNNs) have demonstrated remarkable performance in classifying complicated hyperspectral images (HSIs). However, these models ...
Mediaite

CNN Host Gives Trump Administration Credit for ‘Mammoth’ Epstein Files Release in 30 Days: ‘Not an Easy Task’

CNN’s Michael Smerconish offered some credit to President Donald Trump’s Department of Justice for the “mammoth task” of releasing thousands of files related to late sex predator Jeffrey Epstein in 30 ...
IEEE

Multi-Scale CNN Architectures for Enhanced Feature Extraction in Image Sentiment Analysis

Abstract: Imagery sentiment analysis is a complex task, the aim of which is the interpretation of both local and global visual signs in order to correctly classify the emotions ordered by the image.