IEEE

UAV Small Object Detection Algorithm Based on Dynamic Feature Aggregation and Hierarchical Attention Mechanism

Abstract: Uncrewed Aerial Vehicle (UAV)-based small object detection is crucial for traffic monitoring, precision agriculture, and power system inspection. However, UAV images face challenges ...
IEEE

Exploring a Lightweight and Efficient Network for Salient Object Detection in ORSI

Abstract: In recent years, optical remote sensing image salient object detection (ORSI-SOD) has made substantial progress. Nevertheless, it remains an open-ended research area with complex challenges.
IEEE

CNN+Transformer Based Anomaly Traffic Detection in UAV Networks for Emergency Rescue

Abstract: The unmanned aerial vehicle (UAV) network has gained significant attentions in recent years due to its various applications. However, the traffic security becomes the key threatening public ...
IEEE

A Lightweight CNN for CAN-Bus Intrusion Detection

Abstract: Automotive electronic control units (ECUs) typically offer less than 32 kB of on-chip flash memory, presenting a significant challenge for deploying deep-learning models for Controller Area ...
IEEE

Efficient Back-Projection Technique for Multiple Objects Detection and 2D Imaging Through Photonics-Based LFM Radar

Abstract: Detection and imaging play a vital role in modern radar technology and have seen significant interest across various fields, including autonomous vehicles, defense, environmental monitoring, ...
IEEE

Advanced CNN Architectures for Enhanced Detection of Leukemia Cells in Bone Marrow Images

Abstract: The rapid advancement of deep learning techniques has significantly improved the accuracy of medical image analysis, particularly in the detection and classification of leukemia. In this ...
IEEE

DOH Detection Model Based on CNN-BILSTM-Hierarchical Attention and Reptile Meta-Learning

Abstract: With the increasing adoption of DNS-over-HTTPS (DoH), its encrypted nature enhances privacy protection but simultaneously poses significant challenges for detecting DoH tunnel traffic.
IEEE

YOLOv8-SCS: Improved Object Detection for Autonomous Driving Under Adverse Weather Conditions

Abstract: Adverse weather conditions significantly impact the performance of autonomous driving object detection systems, leading to reduced detection accuracy and an increased false detection rate.
IEEE

Discriminative Latent-Space Learning for Fine-Grained Object Detection in Remote Sensing Images

Abstract: Fine-grained object detection (FOD) is essential in many remote sensing image interpretation tasks. Existing FOD methods have achieved remarkable progress in modeling discriminative features ...
IEEE

MV-YOLO: An Efficient Small Object Detection Framework Based on Mamba

Abstract: Small-object detection in uncrewed aerial vehicle (UAV) and remote-sensing imagery remains challenging because targets occupy only a few pixels, features are sparse, objects are often ...
IEEE

Hybrid CNN-Transformer Architecture for Object Detection and Multimodal Captioning in Educational Contexts

Abstract: Object detection has evolved significantly with Convolutional Neural Networks (CNNs), which excel at extracting local visual patterns. However, their ability to capture long-range spatial ...
IEEE

Interpolate-Then-Detect: A New Framework of FMCW Radar Object Detection With Frame Interpolation for Autonomous Driving

Abstract: Ensuring reliable object detection in adverse conditions is paramount for safe autonomous driving. While cameras and LiDAR struggle in such scenarios, Frequency Modulated Continuous Wave ...