Tag: deep learning
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MitUNet: Hybrid Transformer U-Net for Accurate Wall Segmentation
Discover MitUNet, a hybrid Mix-Transformer and U-Net model enhancing wall segmentation accuracy for precise 3D floor plan reconstruction.
Graceful Forgetting in Generative Language Models Explained
Discover how graceful forgetting improves fine-tuning in generative language models by selectively unlearning irrelevant knowledge.
Optimal Sampling and Unbiased AI for Animal Activity Recognition
Discover how optimized sampling rates and unbiased AI improve precise animal activity recognition for better livestock management and welfare.
Deep Learning for Brain Metastases Segmentation Across Sites
Enhance brain metastases segmentation with VAE-MMD deep learning, improving accuracy and generalization across multiple institutions without target labels.
Why Deep Networks Prefer Simple Data Patterns
Explore how deep networks consistently assign higher density to simpler data, revealing key insights into model behavior and out-of-distribution anomalies.