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

ActionSync Video Transformation: Automated Object Removal and Responsive Effects in Motion Videos Using Hybrid CNN and GRU

Abstract: Large data volumes, dynamic scenes, and intricate object motions make video analysis extremely difficult. Traditional methods depend on human-crafted features that are not scalable. This ...
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

An Object Detection Algorithm of Literatures’ Key Information Based on Optimized Cascade R-CNN

Abstract: To address the problems of relying on electronic repositories and being vulnerable to network influence in obtaining key information of literature in mainstream literature management ...
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.

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 simply ...
IEEE

A Lighter and Faster One-Stage Algorithm for Object Detection in Remote Sensing Images

Abstract: Remote sensing (RS) image processing and analysis face significant challenges due to varying object scales and complex backgrounds. Existing detection algorithms often suffer from high ...
IEEE

Object Detection Data Synthesis via Box-to-Image Generation Based on Diffusion Models

Abstract: Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and ...
IEEE

AUD-YOLO: A Lightweight Object Detection Algorithm Model Incorporating Dynamic Upsampling for Remote Sensing Images

Abstract: In the field of remote sensing image processing, remote sensing image object detection is a crucial undertaking. However, the existing object detection algorithms have a considerable number ...
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 ...