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Found 3 papers, 1 papers with code
Learning Robust Correlation with Foundation Model for Weakly-Supervised Few-Shot Segmentation
In this work, we design a Correlation Enhancement Network (CORENet) with foundation model, which utilizes multi-information guidance to learn robust correlation.
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
The divergence between labeled training data and unlabeled testing data is a significant challenge for recent deep learning models.
Multiple Narrow-band signals Direction Finding with TMLA by Nonuniform Period Modulation
A new array signal reconstruction and signal-channel DOA estimation method based on TMLA by nonuniform period modulation are proposed.
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