4 citations · 8 across the 7 of their papers we have counts for
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cs.CV2024★ 1 cited
Advancing Textual Prompt Learning with Anchored Attributes
Zheng Li, Yibing Song, Ming-Ming Cheng +2
Textual-based prompt learning methods primarily employ multiple learnable soft prompts and hard class tokens in a cascading manner as text inputs, aiming to align image and text (c…
cs.CV2023★ 4 cited
Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?
Zheng Li, Yuxuan Li, Penghai Zhao +3
Diffusion models have recently achieved astonishing performance in generating high-fidelity photo-realistic images. Given their huge success, it is still unclear whether synthetic…
cs.CV2021
Accurate Fine-grained Layout Analysis for the Historical Tibetan Document Based on the Instance Segmentation
Penghai Zhao, Weilan Wang, Zhengqi Cai +2
Accurate layout analysis without subsequent text-line segmentation remains an ongoing challenge, especially when facing the Kangyur, a kind of historical Tibetan document featuring…