IEEE

An Integrated CNN-BiLSTM-Transformer Framework for Improved Anomaly Detection Using Surveillance Videos

Abstract: Surveillance cameras have been widely used for monitoring in both private and public sectors as a security measure. Close Circuits Television (CCTV) Cameras are widely used to surveillance ...
IEEE

Microplastic Detection in Drinking Water: A Comparative Analysis of CNN-SVM and CNN-RF Hybrid Models

Abstract: The growing presence of microplastics in drinking water poses severe dangers to health and the environment, requiring enhanced detection methods. This work deals with the constraints of ...
IEEE

Operator Chain Detection in Image Forensics Using a Two-Stream CNN

Abstract: The advent of image-manipulation techniques and manipulation operator chains has raised the problem of identifying edited photos to prominence in information forensics. Existing forensic ...
IEEE

CNN vs. Transformer-Based Models for Deepfake Detection: A Comparative Analysis

Abstract: As deepfake technology has rapidly progressed, it has become a concern for media authenticity, cybersecurity, and digital forensics. In this work, we compare and contrast CNNs and ...
IEEE

Comparative Study of CNN Models for Human Action Recognition in Detection Tasks

Abstract: Aiming at the performance optimization of convolutional neural networks in human action recognition tasks, this study constructs a system evaluation framework containing eight typical ...
IEEE

OCA: Object-Based Change Augmentation for Few-Shot Building Change Detection in Very High-Resolution Remote Sensing Images

Abstract: Change detection (CD) based on multitemporal remote sensing imagery is a crucial step for various Earth observation applications. While deep learning (DL) has revolutionized CD, its ...
IEEE

Spatial-Frequency Collaborative Learning for Camouflaged Object Detection

Abstract: Camouflaged object detection (COD) is a challenging task that struggles to accurately detect the objects concealed in the surrounding environment. This is largely attributed to the intrinsic ...
IEEE

Corn Leaf Disease Detection using Quantum CNN

Abstract: Corn leaf diseases are one of the biggest challenges undermining crop productivity and ensuring global food security, so early and accurate identification is crucial for proper management of ...
IEEE

UniROD: Unified Radar Object Detection with MAE-pretrained CNN-Transformer Fusion

Millimeter-wave radar object detection has become pivotal for autonomous driving systems requiring all-weather reliability. While conventional CFAR methods face limitations in classification ...
IEEE

Deepfake Face Image Detection: Benchmarking CNN Models' Performance

Abstract: The Deepfake Face Image Detection System uses Convolutional Neural Networks (CNNs) to address the growing threat of deepfakes, which manipulate images to falsely depict events or actions, ...
IEEE

Object Detection and Classification from Sonar Underwater Images using YOLO and DETR models

Abstract: Underwater object detection using SONAR images is critical for marine conservation, environmental monitoring, waste management, and rescue operations. In this study, the authors apply ...
IEEE

Ensemble of Fast R-CNN with Bi-LSTM for Object Detection

Abstract: Object detection is a critical task in computer vision, with applications ranging from autonomous driving to medical imaging. Traditional object detection models, such as Fast R-CNN, have ...