D3-Omni is introduced, a balanced and decoupled benchmark for diagnosing fine-grained multimodal understanding, covering 53 orthogonal binary dimensions and 10,671 samples across the three tasks, suggesting that aggregate accuracy may hide systematic blind spots that a balanced and decoupled lens can help expose and, i...
Guang Hu, Ziyue Jiang, Wei Qiao et al.· 0 citations
RubricRM is proposed, a pairwise generative reward modeling framework that first produces an input-specific rubric with evaluation dimensions, weights, and scoring criteria, and then applies the rubric to score candidate images.
Zi-Jian Kan, Wei Wang, Long Luo et al.· 0 citations
MoSaiC, a novel Motion-Saliency Complementary masked modeling framework for self-supervised point cloud video representation learning, couples three components: Curriculum Motion-Saliency Masking (CMSM), which guides the masking process toward motion-salient tokens under a curriculum schedule; Normal-Flow Motion (NFM)...
Wei Wang, Yi-Ding Sun, Yuying Wang et al.· 0 citations
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