SAMSort: Vision foundation model for sorting construction and demolition waste
Authors:
- Ruoxin WangRWRuoxin Wang
- Chi Fai CheungCCChi Fai Cheung
- Yiman JiangYJYiman Jiang
- Dongxing XuanDXDongxing Xuan
- Chi Sun PoonCPChi Sun Poon
Open Access
- 20 November 2025
- journal article
- Published by Elsevier in Developments in the Built Environment
- Vol. 24
Abstract
No abstract availableFunding Information
- Hong Kong Polytechnic University (1-BBES)
- Research Grants Council, University Grants Committee (C5031-22G)
This publication has 12 references indexed in Scilit:
- Enhancing durability of recycled concrete and brick aggregates with silica fume treatmentRoad Materials and Pavement Design, 2025
- Effects of particle shape and size on strength and durability of recycled concrete aggregates: An experimental and statistical approachConstruction and Building Materials, 2025
- Real-time construction demolition waste detection using state-of-the-art deep learning methods; single–stage vs two-stage detectorsWaste Management, 2023
- Robot for automatic waste sorting on construction sitesAutomation in Construction, 2022
- Deep learning networks for real-time regional domestic waste detectionJournal of Cleaner Production, 2022
- Deep learning-based waste detection in natural and urban environmentsWaste Management, 2022
- A smart municipal waste management system based on deep-learning and Internet of ThingsWaste Management, 2021
- Recyclable waste image recognition based on deep learningResources, Conservation and Recycling, 2021
- Tensor-Train DecompositionSIAM Journal on Scientific Computing, 2011
- A Multilinear Singular Value DecompositionSIAM Journal on Matrix Analysis and Applications, 2000