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Recovering Black-Box Point Cloud Models from Pose Shifts via Derivative-Free Optimization
Point cloud models are increasingly deployed through score-only black-box interfaces. Under this access model, test-time rotations outside the training distribution can substantially degrade performance. Although existing mitigations such as equivariant retraining and gradient-based adaptation are e
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