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Found 2 papers, 2 papers with code
Tackling Few-Shot Segmentation in Remote Sensing via Inpainting Diffusion Model
In the few-shot segmentation task, models are typically trained on base classes with abundant annotations and later adapted to novel classes with limited examples.
Robust Guidance for Unsupervised Data Selection: Capturing Perplexing Named Entities for Domain-Specific Machine Translation
Low-resourced data presents a significant challenge for neural machine translation.
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