IEEE

Crispvision: Apple Leaf Disease Detection Using Machine Learning and Deeper CNN

Abstract: Identifying diseases in apple leaves plays a vital role in boosting farm productivity and preventing crop losses. This research introduces a comprehensive approach for classifying images of ...
IEEE

Bowstern R-CNN: A Bow-Orientation-Sensitive Ship Object Detector Using Keypoints

In the task of ship detection, convolutional neural networks (CNNs) based on deep learning have achieved remarkable progress. However, two-stage object detectors often overlook critical distinctions ...
IEEE

Comparative Analysis of Object Detection Algorithms for Bolt Detection: Performance Evaluation of Faster R-CNN, SSD, RetinaNet and YOLOv8n

With the development of Industry 4.0, there is increasing emphasis on automating assembly tasks traditionally performed manually by skilled workers [1]. These tasks often involve fasteners, such as ...
IEEE

Removal Then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object Detection

Abstract: In recent years, object detection utilizing both visible (RGB) and thermal infrared (IR) imagery has garnered extensive attention and has been widely implemented across a diverse array of ...
IEEE

Salient Object Detection of Dynamic Night Scenes via Bio-Inspired Spotlight Attention and Hierarchical Edge-Texture Fusion

Abstract: The perception of night scenes is of crucial importance for driving safety. In the dimly lit night environment, as the visibility of objects decreases, both experienced and inexperienced ...
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

BERT and CNN for Automated Detection of Detrimental Discourse

Abstract: The modern online age is competitive and full of information that requires sensing dangerous materials in order to maintain online honesty and facilitate positive forms of communication.
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

Demonstration of mmWave Radar Passive Phantom Target Attack and Detection Using CNN

Abstract: Millimeter wave (mmWave) radar is widely used in both civilian and defense applications, especially in autonomous vehicles (AVs), due to its resilience in adverse weather and its capability ...
IEEE

Device-Free Occupancy Detection via Wi-Fi CSI and Deep Residual CNN

Abstract: This paper explores a device-free indoor occupancy detection approach using raw Wi-Fi Channel State Information (CSI). CSI data, including both real and imaginary components per subcarrier, ...
IEEE

Faster R-CNN With Variable-Sensitive Map for UAVs Fault Detection: Addressing Simultaneous Sensor Faults in Autonomous Flights

Abstract: Unmanned aerial vehicles (UAVs) have advanced significantly and are increasingly used in civil and military field. Ensuring their safety and reliability is crucial, and fault detection is ...