Abstract: Flow matching is a recent framework to train generative models that exhibits impressive empirical performance while being relatively easier to train compared with diffusion-based models.

Abstract: Traditional image feature matching methods cannot obtain satisfactory results for multi-modal remote sensing images (MRSIs) in most cases because different imaging mechanisms bring ...

Abstract: In recent years, several retrieval methods for measuring the similarity between images and texts have been proposed. Despite the efficiency of most of these methods, the scalar-based cosine ...

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RoMa is the robust dense feature matcher capable of estimating pixel-dense warps and reliable certainties for almost any image pair. roma_model.sample_thresh controls the thresholding used when ...