Abstract: Semantic segmentation of remote sensing images (RSIs) has significant advances with the adoption of deep neural networks, taking the advantages of convolutional neural networks (CNNs) in ...
E-FineR is a training-free, fully automated framework for vocabulary-free fine-grained visual recognition. This repository accompanies the research paper: Vocabulary-free Fine-grained Visual ...
Abstract: Existing volumetric medical image segmentation models are typically task-specific, excelling at specific targets but struggling to generalize across anatomical structures or modalities. This ...
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