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Multi Self-supervised Pre-fine-tuned Transformer Fusion for Better Intelligent Transportation Detection
To address these problems, we propose a Multi Self-supervised Pre-fine-tuned Transformer Fusion (MSPTF) network, consisting of two steps: unsupervised pre-fine-tune domain knowledge learning and multi-model fusion target task learning.
Road Disease Detection based on Latent Domain Background Feature Separation and Suppression
Road disease detection is challenging due to the the small proportion of road damage in target region and the diverse background, which introduce lots of domain information. Besides, disease categories have high similarity, makes the detection more difficult.
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