IEEE

Innovative Lightweight CNN Model for Stage-Wise Alzheimer's Disease Detection

Abstract: A common neurological condition that causes cognitive decline, particularly in older people, is Alzheimer's disease (AD). In order to improve patient treatment and minimize the progression ...
IEEE

Removal Then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object Detection

Abstract: In recent years, object detection utilizing both visible (RGB) and thermal infrared (IR) imagery has garnered extensive attention and has been widely implemented across a diverse array of ...
IEEE

Salient Object Detection of Dynamic Night Scenes via Bio-Inspired Spotlight Attention and Hierarchical Edge-Texture Fusion

Abstract: The perception of night scenes is of crucial importance for driving safety. In the dimly lit night environment, as the visibility of objects decreases, both experienced and inexperienced ...
IEEE

Adaptive Grid Selection Training Strategy for Tiny Object Detection

Abstract: Detecting small objects and managing occlusions remain persistent challenges in object detection tasks, particularly in complex scenarios with diverse environments or densely packed scenes.
IEEE

A Patch-Based CNN Approach for Object Detection Using RGB and NIR Image Fusion

Abstract: This study explores the fusion of RGB and NearInfrared (NIR) images for object detection. Three fusion techniques, such as RedSwap, Heatmap, and the proposed NIRR Difference, were evaluated ...
IEEE

Spatial-Frequency Collaborative Learning for Camouflaged Object Detection

Abstract: Camouflaged object detection (COD) is a challenging task that struggles to accurately detect the objects concealed in the surrounding environment. This is largely attributed to the intrinsic ...
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

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 ...