The paper introduces a new method for self-supervised video object segmentation (VOS) by leveraging inherent structural dependencies in DINO-pretrained Transformers. Instead of resorting to auxiliary modalities or iterative slot attention,…
Continue readingThis work is about a self-supervised method, FSD, for recognizing 3D objects from a single RGB-D image. It aims to predict the 3D shape, size, and 6D pose of objects,…
Continue readingThe research focuses on linking sheet music images to audio recordings, a key issue for efficient cross-modal music retrieval systems. It explores a method to learn a cross-modal embedding space…
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