Abstract: Deep learning-based methods, particularly Transformer-based approaches, have made remarkable achievements in hyperspectral image super-resolution (SR) tasks. However, due to the complex ...
Microsoft launches three in-house AI models for transcription, voice, and image generation, challenging OpenAI and Google ...
Abstract: We propose VRP-ScribFormer, a CNN-Transformer hybrid framework for scribble-supervised medical image segmentation. It introduces a Visual Reference Prototype (VRP) encoder that transfers ...
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