2 citations · 2 across the 6 of their papers we have counts for
6 papers
REFINE-CONTROL: A Semi-supervised Distillation Method For Conditional Image Generation
Yicheng Jiang, Jin Yuan, Hua Yuan +2
Conditional image generation models have achieved remarkable results by leveraging text-based control to generate customized images. However, the high resource demands of these mod…
Enriching Knowledge Distillation with Intra-Class Contrastive Learning
Hua Yuan, Ning Xu, Xin Geng +1
Since the advent of knowledge distillation, much research has focused on how the soft labels generated by the teacher model can be utilized effectively. Existing studies points out…
Mask Consistency Regularization in Object Removal
Hua Yuan, Jin Yuan, Yicheng Jiang +3
Object removal, a challenging task within image inpainting, involves seamlessly filling the removed region with content that matches the surrounding context. Despite advancements i…
Towards Understanding Feature Learning in Parameter Transfer
Hua Yuan, Xuran Meng, Qiufeng Wang +6
Parameter transfer is a central paradigm in transfer learning, enabling knowledge reuse across tasks and domains by sharing model parameters between upstream and downstream models.…
Learning From Biased Soft Labels
Hua Yuan, Ning Xu, Yu Shi +2
Knowledge distillation has been widely adopted in a variety of tasks and has achieved remarkable successes. Since its inception, many researchers have been intrigued by the dark kn…
Unreliable Partial Label Learning with Recursive Separation
Yu Shi, Ning Xu, Hua Yuan +1
Partial label learning (PLL) is a typical weakly supervised learning problem in which each instance is associated with a candidate label set, and among which only one is true. Howe…