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cs.CV2025
Unsupervised Waste Classification By Dual-Encoder Contrastive Learning and Multi-Clustering Voting (DECMCV)
Kui Huang, Mengke Song, Shuo Ba +6
Waste classification is crucial for improving processing efficiency and reducing environmental pollution. Supervised deep learning methods are commonly used for automated waste cla…
cs.CV2023
Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images
Zhaocong liu, Fa Zhang, Lin Cheng +4
High-quality labeled datasets are essential for deep learning. Traditional manual annotation methods are not only costly and inefficient but also pose challenges in specialized dom…