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LoCA achieves state-of-the-art performance in vision tasks while preserving spatial priors, revolutionizing how we adapt convolutional models without full fine-tuning.
Open-vocabulary 3D instance segmentation just got 100x faster, thanks to a new transformer architecture that ditches region proposals and fragmented masks.
