Finding Distributed Object-Centric Properties in Self-Supervised Transformers
Finding Distributed Object-Centric Properties in Self-Supervised Transformers explores A training-free method to extract distributed object-centric information from self-supervised transformers for improved object discovery and grounding in multimodal models.. Commercial viability score: 7/10 in Computer Vision.
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