IEEE

Robotic Detection of Deformed Objects for Marine Debris Management

The growing presence of trash in our water bodies highlights the urgency of removing marine debris. Autonomous underwater vehicles (AUVs) equipped with object detection capabilities can play a vital ...
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 ...
IEEE

Adaptive Receptive Field Network for Small Objects Detection in Remote Sensing Images

Abstract: Small object detection in remote sensing images is severely hampered by the significant scale variation even among small objects. Conventional methods often rely on a static receptive field ...
IEEE

TRAM: Transformer-Based Mask R-CNN Framework for Underwater Object Detection in Side-Scan Sonar Data

Abstract: Accurate detection and segmentation of underwater objects in side-scan sonar (SSS) imagery remain challenging due to noise, cluttered backgrounds, and low-contrast conditions. In this paper, ...
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 ...
IEEE

MSTCNet: Multiscale Transformer-CNN Network for Robotic Grasp Detection

Abstract: Existing robotic grasp detection methods often struggle with inaccurate predictions in complex scenarios involving multiple objects and textured backgrounds. Most existing methods attempt to ...
IEEE

A Verilog based Approach for Object Detection using CNN

Abstract: A Convolutional Neural Network (CNN) are a class of artificial neural networks specifically designed to process data with a grid-like topology, such as images, making them well-suited for ...
Ars Technica

TikTok users “absolutely justified” in fearing MAGA makeover, experts say

TikTok wants users to believe that errors blocking uploads of anti-ICE videos or direct messages mentioning Jeffrey Epstein are due to technical errors—not the platform shifting to censor content ...
IEEE

SecIDS–CNN–WF: A Trust-Aware Edge-Efficient CNN for Real-Time Wi-Fi Intrusion Detection

Abstract: Wireless Fidelity (Wi-Fi) infrastructures continue to face increasingly dynamic and stealthy intrusion attempts, creating a strong need for efficient intrusion detection systems that operate ...
IEEE

HUNTNet: Homomorphic Unified Nexus Topology for Camouflaged Object Detection

Abstract: Camouflaged object detection (COD) is challenging for both human and computer vision, as targets often blend into the background by sharing similar color, texture, or shape. While many ...