The rapid development of mobile imaging and social platforms has led to explosive growth in user-generated content images, making their systematic and comprehensive perceptual assessment increasingly important. Existing image perception benchmarks are typically task-oriented, curating specific scenarios for quality or...
Shu-Han Xia, Yu Chen, Xiang Wang et al.· 0 citations
Matryoshka Evidence-to-Context (MEC) Frame Selection is introduced, a training-free framework that builds a reusable sparse video index, discovers candidates through sparse probing and local zooming, and greedily constructs a position-adaptive ranking - early positions emphasize evidence; later positions progressively...
Wang Chen, Yu Chen, Xiang Wang et al.· 1 citation· ⚡1
This work proposes MCR-GRPO, a marginal contribution assignment framework that derives box-level credit directly from each sampled response, preserving GRPO's response-level comparison while enabling box-aware optimization of structured multi-object grounding.
Xinheng Han, Jianfeng Wang, Yu Chen et al.· 0 citations
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