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Open-vocabulary 3D LiDAR segmentation now leverages point transformers for outdoor scenes, achieving SOTA without manual annotation or geometric pre-training.
Adversarial patches can be optimized for maximum impact with minimal queries, revealing critical trade-offs in their design and effectiveness against object detectors.
Architectural diversity offers surprisingly little defense against adversarial attacks on VLMs for autonomous driving, with physical patches transferring effectively across different models.