May 1, 2024, 4:42 a.m. | Rishav Pramanik, Jos\'e-Fabian Villa-V\'asquez, Marco Pedersoli

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.19654v1 Announce Type: cross
Abstract: Unsupervised object discovery is becoming an essential line of research for tackling recognition problems that require decomposing an image into entities, such as semantic segmentation and object detection. Recently, object-centric methods that leverage self-supervision have gained popularity, due to their simplicity and adaptability to different settings and conditions. However, those methods do not exploit effective techniques already employed in modern self-supervised approaches. In this work, we consider an object-centric approach in which DINO ViT features …

arxiv attention cs.cv cs.lg discovery object query type unsupervised

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