Picture for Muhammad Hussain

Muhammad Hussain

YOLOv11: An Overview of the Key Architectural Enhancements

Add code
Oct 23, 2024
Figure 1 for YOLOv11: An Overview of the Key Architectural Enhancements
Figure 2 for YOLOv11: An Overview of the Key Architectural Enhancements
Figure 3 for YOLOv11: An Overview of the Key Architectural Enhancements
Figure 4 for YOLOv11: An Overview of the Key Architectural Enhancements
Viaarxiv icon

A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships

Add code
Aug 27, 2024
Viaarxiv icon

From SAM to SAM 2: Exploring Improvements in Meta's Segment Anything Model

Add code
Aug 12, 2024
Viaarxiv icon

What is YOLOv5: A deep look into the internal features of the popular object detector

Add code
Jul 30, 2024
Viaarxiv icon

A Comparative Analysis of YOLOv5, YOLOv8, and YOLOv10 in Kitchen Safety

Add code
Jul 30, 2024
Viaarxiv icon

YOLOv5, YOLOv8 and YOLOv10: The Go-To Detectors for Real-time Vision

Add code
Jul 03, 2024
Viaarxiv icon

YOLOv1 to YOLOv10: A comprehensive review of YOLO variants and their application in the agricultural domain

Add code
Jun 14, 2024
Viaarxiv icon

Diabetic Retinopathy Screening Using Custom-Designed Convolutional Neural Network

Add code
Oct 08, 2021
Figure 1 for Diabetic Retinopathy Screening Using Custom-Designed Convolutional Neural Network
Figure 2 for Diabetic Retinopathy Screening Using Custom-Designed Convolutional Neural Network
Figure 3 for Diabetic Retinopathy Screening Using Custom-Designed Convolutional Neural Network
Figure 4 for Diabetic Retinopathy Screening Using Custom-Designed Convolutional Neural Network
Viaarxiv icon

A Deep Learning-Based Unified Framework for Red Lesions Detection on Retinal Fundus Images

Add code
Sep 17, 2021
Figure 1 for A Deep Learning-Based Unified Framework for Red Lesions Detection on Retinal Fundus Images
Figure 2 for A Deep Learning-Based Unified Framework for Red Lesions Detection on Retinal Fundus Images
Figure 3 for A Deep Learning-Based Unified Framework for Red Lesions Detection on Retinal Fundus Images
Figure 4 for A Deep Learning-Based Unified Framework for Red Lesions Detection on Retinal Fundus Images
Viaarxiv icon

Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models

Add code
Apr 30, 2019
Figure 1 for Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models
Figure 2 for Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models
Figure 3 for Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models
Figure 4 for Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models
Viaarxiv icon