5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CL2025
One Size Does Not Fit All: A Distribution-Aware Sparsification for More Precise Model Merging
Yingfeng Luo, Dingyang Lin, Junxin Wang +8
Model merging has emerged as a compelling data-free paradigm for multi-task learning, enabling the fusion of multiple fine-tuned models into a single, powerful entity. A key techni…
cs.CV2022★ 5 cited
Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentation
Zheng Tong, Tao Ma, Ju Huyan +1
Pavement damage segmentation has benefited enormously from deep learning. % and large-scale datasets. However, few current public datasets limit the potential exploration of deep l…