Abstract: The advent of vision-language pre-training techniques enhanced substantial progress in the development of models for image captioning. However, these models frequently produce generic ...
Abstract: Electroencephalography (EEG), known for its convenient noninvasive acquisition but moderate signal-to-noise ratio, has recently gained much attention due to the potential to decode image ...
We present an efficient language-guided medical image segmentation framework, which employs conditioned contrastive learning and cross-modal conditioned reconstruction to achieve fine-grained ...
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