IEEE

Mamba*YOLO: Lightweight and Accurate Object Detection via Regional Attention With Gated Enhancement

Abstract: Object detection is a fundamental computer vision task that simultaneously locates and categorizes objects in images and videos. It is utilized in various fields, such as autonomous driving, ...
IEEE

Real-Time Object Detection and Tracking Robot with IoT Integration Using Faster R-CNN

Abstract: In recent years, Object detection and tracking has emerged as a key enabler for intelligent automation in the application domains including surveillance, autonomous driving, smart farming, ...
GitHub

RF-DETR: Real-Time SOTA Detection and Segmentation

RF-DETR is a real-time transformer architecture for object detection and instance segmentation developed by Roboflow. Built on a DINOv2 vision transformer backbone, RF-DETR delivers state-of-the-art ...
IEEE

Hybrid CNN-LSTM Model for DDoS Detection and Mitigation in Software-Defined Networks

Abstract: Software-Defined Networking (SDN) enhances programmability and control but remains highly vulnerable to distributed denial-of-service (DDoS) attacks. Existing solutions often adapt ...
IEEE

Multi-Clue Sliding Window Attention for Camouflaged Object Detection

Abstract: The aim of camouflaged object detection (COD) is to discern concealed objects within the background. Due to issues such as high similarity to the surrounding environment, small size, ...
IEEE

Multi-Scale Oriented Object Detection With Focus Error Ellipse Loss

Abstract: The loss function and feature extraction framework are essential parts of the algorithm design and significantly affect the accuracy of oriented object detection in remote sensing images.
IEEE

A Two-Stage Spatiotemporal CNN-YOLOv9 Framework for High-Precision Real-Time Abandoned Object Detection in Public Surveillance Videos

Abstract: Maintaining security is of prime importance in public spaces such as markets, train stations, and airports. Such situations demand reliable and advanced automated surveillance systems. This ...
IEEE

Mask R-CNN with HRNet Backbone for Person Detection Evaluation on COCO Using mIoU and Threshold Optimization

Abstract: A crucial computer vision problem is person detection, but real-world challenges including crowded backgrounds, inconsistent lighting, and object occlusion require accurate and robust models ...
IEEE

TCINet: Transformer–CNN Interaction Network for Space Noncooperative Object Saliency Detection

Abstract: Space noncooperative object detection (SNCOD) is an essential part of space situation awareness. The localization and segmentation capabilities of the salient object detection (SOD) method ...