2 papers
cs.LG2026
CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers
Boxiang Zhang, Baijian Yang
Transformers achieve strong accuracy but incur high compute and memory cost. Structured pruning reduces inference cost, but most methods rely on retraining or multi-stage optimizat…
cs.CV2023
Mx2M: Masked Cross-Modality Modeling in Domain Adaptation for 3D Semantic Segmentation
Boxiang Zhang, Zunran Wang, Yonggen Ling +3
Existing methods of cross-modal domain adaptation for 3D semantic segmentation predict results only via 2D-3D complementarity that is obtained by cross-modal feature matching. Howe…