Cover Image

Advancing Recycling Efficiency: A Comparative Analysis of Deep Learning Models in Waste Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Qiao, Zhanshan
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimizing Waste Management with Advanced Object Detection for Garbage Classification
by: Kuang, Everest Z., et al.
Published: (2024)

Transforming Blood Cell Detection and Classification with Advanced Deep Learning Models: A Comparative Study
by: Choudhary, Shilpa, et al.
Published: (2024)

Plastic Waste Classification Using Deep Learning: Insights from the WaDaBa Dataset
by: Kunwar, Suman, et al.
Published: (2024)

Health Care Waste Classification Using Deep Learning Aligned with Nepal's Bin Color Guidelines
by: Kunwar, Suman, et al.
Published: (2025)

A Comparative Analysis of CNN-based Deep Learning Models for Landslide Detection
by: Oak, Omkar, et al.
Published: (2024)

HybridSOMSpikeNet: A Deep Model with Differentiable Soft Self-Organizing Maps and Spiking Dynamics for Waste Classification
by: Ghosh, Debojyoti, et al.
Published: (2025)

Analysis of 3D Urticaceae Pollen Classification Using Deep Learning Models
by: Konijn, Tijs, et al.
Published: (2025)

Super-Resolution Analysis for Landfill Waste Classification
by: Molina, Matias, et al.
Published: (2024)

A Comparative Performance Analysis of Classification and Segmentation Models on Bangladeshi Pothole Dataset
by: Parsa, Antara Firoz, et al.
Published: (2025)

Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative Study
by: Eskandari, Sania, et al.
Published: (2024)

Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery
by: Liu, Willow, et al.
Published: (2024)

GlobalWasteData: A Large-Scale, Integrated Dataset for Robust Waste Classification and Environmental Monitoring
by: Ijaz, Misbah, et al.
Published: (2026)

Advancing Image Classification with Discrete Diffusion Classification Modeling
by: Belhasin, Omer, et al.
Published: (2025)

Automated Landfill Detection Using Deep Learning: A Comparative Study of Lightweight and Custom Architectures with the AerialWaste Dataset
by: Sharmily, Nowshin, et al.
Published: (2025)

Representation Recycling for Streaming Video Analysis
by: Ertenli, Can Ufuk, et al.
Published: (2022)

Robust and Label-Efficient Deep Waste Detection
by: Abid, Hassan, et al.
Published: (2025)

Autonomous AI-enabled Industrial Sorting Pipeline for Advanced Textile Recycling
by: Spyridis, Yannis, et al.
Published: (2024)

A Deep Learning Method for Classification of Biophilic Artworks
by: Kar, Purna, et al.
Published: (2024)

Deep ContourFlow: Advancing Active Contours with Deep Learning
by: Habis, Antoine, et al.
Published: (2024)

Image Classification with Deep Reinforcement Active Learning
by: Jiu, Mingyuan, et al.
Published: (2024)

Deep Transfer Learning for Breast Cancer Classification
by: Djagba, Prudence, et al.
Published: (2024)

Exploring the Efficacy of Group-Normalization in Deep Learning Models for Alzheimer's Disease Classification
by: Habib, Gousia, et al.
Published: (2024)

Kitchen Food Waste Image Segmentation and Classification for Compost Nutrients Estimation
by: Rahman, Raiyan, et al.
Published: (2024)

Deep Learning for Breast Cancer Detection: Comparative Analysis of ConvNeXT and EfficientNet
by: Hasan, Mahmudul
Published: (2025)

Explainable AI-Enhanced Deep Learning for Pumpkin Leaf Disease Detection: A Comparative Analysis of CNN Architectures
by: Khandaker, Md. Arafat Alam, et al.
Published: (2025)

Boosting Memory Efficiency in Transfer Learning for High-Resolution Medical Image Classification
by: Huang, Yijin, et al.
Published: (2024)

Deep Modeling and Optimization of Medical Image Classification
by: Wu, Yihang, et al.
Published: (2025)

Deep Modeling and Interpretation for Bladder Cancer Classification
by: Chaddad, Ahmad, et al.
Published: (2026)

Enhancing Facial Classification and Recognition using 3D Facial Models and Deep Learning
by: Li, Houting, et al.
Published: (2023)

A Multitask Deep Learning Model for Classification and Regression of Hyperspectral Images: Application to the large-scale dataset
by: Chhapariya, Koushikey, et al.
Published: (2024)

A Quantitative Approach for Evaluating Disease Focus and Interpretability of Deep Learning Models for Alzheimer's Disease Classification
by: Tam, Thomas Yu Chow, et al.
Published: (2024)

Deep-Wide Learning Assistance for Insect Pest Classification
by: Nguyen, Toan, et al.
Published: (2024)

Performance Comparison of Deep Learning Techniques in Naira Classification
by: Tijjani, Ismail Ismail, et al.
Published: (2024)

Modeling Art Evaluations from Comparative Judgments: A Deep Learning Approach to Predicting Aesthetic Preferences
by: Bethi, Manoj Reddy, et al.
Published: (2026)

A Multi-Stage Auto-Context Deep Learning Framework for Tissue and Nuclei Segmentation and Classification in H&E-Stained Histological Images of Advanced Melanoma
by: Torbati, Nima, et al.
Published: (2025)

Comparative Analysis of Advanced AI-based Object Detection Models for Pavement Marking Quality Assessment during Daytime
by: Antariksa, Gian, et al.
Published: (2025)

Deep Learning Innovations for Underwater Waste Detection: An In-Depth Analysis
by: Walia, Jaskaran Singh, et al.
Published: (2024)

Investigating Demographic Bias in Brain MRI Segmentation: A Comparative Study of Deep-Learning and Non-Deep-Learning Methods
by: Danaee, Ghazal, et al.
Published: (2025)

Comparative Analysis of Deep Learning Models for Perception in Autonomous Vehicles
by: Khan, Jalal
Published: (2025)

Textile Analysis for Recycling Automation using Transfer Learning and Zero-Shot Foundation Models
by: Spyridis, Yannis, et al.
Published: (2025)