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

A Two-stage Faster R-CNN Approach for Road Surface Damage Detection

Abstract: Road surface damage detection is important for maintaining transportation infrastructure and ensuring public safety. Automated approaches help reduce labour-intensive manual inspections and ...
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 ...
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 ...
IEEE

CSFPR-RTDETR: Real-Time Small Object Detection Network for UAV Images Based on Cross-Spatial-Frequency Domain and Position Relation

Abstract: Small object detection in uncrewed aerial vehicle (UAV) images is one of the critical aspects for its widespread application. However, due to limited feature extraction for small objects and ...
GitHub

A brand logo detection system using Tensorflow Object Detection API.

Description Tensorflow Object Detection API is the easy to use framework for creating a custom deep learning model that solves object detection problems. If you already have your own dataset, you can ...