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By combining VLM-guided segmentation with spectral analysis, this approach offers a more interpretable and accurate alternative to traditional classifiers for veterinary diagnosis, sidestepping reliance on large labeled datasets.
Mamba can fully replace attention and RNNs in diffusion-based TTS conditioning paths, achieving better quality and efficiency.
