Complementing DINO Features with Image Structure for Part Discovery
Part-DINO is introduced, a training-free framework that combines boundaries from low-level image segmentation with DINO's semantic features, and produces structurally coherent part assignments, outperforming training-free baselines across four standard benchmarks and remaining competitive with weakly-supervised and uns...