The paper introduces LeOCLR, a framework that improves contrastive instance discrimination by incorporating original images to ensure correct semantic information in shared regions. Experimental results show superior performance compared to baseline models on various tasks and datasets. The study highlights the importance of addressing issues with data augmentation in representation learning to enhance visual representations.
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by Mohammad Alk... at arxiv.org 03-12-2024
https://arxiv.org/pdf/2403.06813.pdfDeeper Inquiries