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Genview: Enhancing view quality with pretrained generative model for self-supervised learning
Self-supervised learning has achieved remarkable success in acquiring high-quality
representations from unlabeled data. The widely adopted contrastive learning framework …
representations from unlabeled data. The widely adopted contrastive learning framework …
Employing bimodal representations to predict DNA bendability within a self-supervised pre-trained framework
The bendability of genomic DNA, which measures the DNA loo** rate, is crucial for
numerous biological processes of DNA. Recently, an advanced high-throughput technique …
numerous biological processes of DNA. Recently, an advanced high-throughput technique …
Adaptive Multi-type Contrastive Views Generation for Remote Sensing Image Semantic Segmentation
C Shi, P Han, M Zhao, L Fang, Q Miao… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Self-supervised contrastive learning is a powerful pre-training framework for learning the
invariant features from the different views of remote sensing images, therefore, the …
invariant features from the different views of remote sensing images, therefore, the …