Medical waste, i.e. waste produced during medical activities in hospitals, clinics and laboratories, represents hazardous waste whose management involves special care and high costs. However, this kind of waste contains a significant fraction of highly valued materials that can enter a circular economy process. To this end, in this paper, we propose a computer vision approach for assisting in the primary sorting of medical waste. The feasibility of our approach is demonstrated on a representative dataset we collected and made available to the community, with which we have trained a model that achieves 100\% accuracy, and a new dataset on which the trained model exhibits good generalization.
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting
Boston University（波士顿大学）；Worcester Polytechnic Institute（伍斯特理工学院）；Georgetown University（乔治城大学）；MIT-IBM Watson Lab（麻省理工学院-IBM沃森实验室）；Hanbat National University（韩巴国立大学）；SI Analytics（SI分析公司）；Tel-Aviv University（特拉维夫大学）；Beijing Institute of Technology（北京理工大学）
Efficient Waste Sorting for Circular Economy: A Confidence-guided comparison between One-Vs-All and One-Vs-Rest Classification Strategies with Human-in-the-Loop for Automated Waste Sorting
Institute for Software and Systems Engineering（软件与系统工程研究所）；Clausthal University of Technology（克莱斯特哈根技术大学）
First Lessons Learned of an Artificial Intelligence Robotic System for Autonomous Coarse Waste Recycling Using Multispectral Imaging-Based Methods
Hamburg University of Applied Sciences（汉堡应用技术大学）；University of the West of Scotland（西苏格兰大学）；Institute for Energy, Recycling and Environmental Protection at Bremen University of Applied Sciences（不来梅应用技术大学能源、回收与环境保护研究所）；German Research Center for Artificial Intelligence（德国人工智能研究中心）
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes
Boston University（波士顿大学）；American University in Cairo（开罗美国大学）；Worcester Polytechnic Institute（伍斯特理工学院）；University of Washington（华盛顿大学）；MIT-IBM Watson AI Lab（麻省理工学院-IBM沃森人工智能实验室）
GlobalWasteData: A Large-Scale, Integrated Dataset for Robust Waste Classification and Environmental Monitoring
University of Gujrat（瓜贾特大学）；Rhineland-Palatinate Technical University of Kaiserslautern-Landau（凯斯贝伦-巴拉丁技术大学）；German Research Center for Artificial Intelligence（德国人工智能研究中心）；Intelligentx GmbH
Sorting of Smartphone Components for Recycling Through Convolutional Neural Networks
Institute of Informatics, Federal University of Rio Grande do Sul（南里奥格兰德联邦大学信息学研究所）；LACOR – Department of Materials, Federal University of Rio Grande do Sul（南里奥格兰德联邦大学材料系LACOR实验室）
A Deep Learning Approach for Pixel-level Material Classification via Hyperspectral Imaging
Institute of Communication and Computer Systems, National Technical University of Athens（通信与计算机系统研究所，国家技术大学雅典）；School of Electrical and Computing Engineering, National Technical University of Athens（电气与计算工程学院，国家技术大学雅典）；Technology Innovation Institute, Yas Island, Abu Dhabi,United Arab Emirates（亚斯岛技术创新研究所，阿布扎比，阿拉伯联合酋长国）
