7 citations · 15 across the 4 of their papers we have counts for
4 papers
Rethinking Efficient Tuning Methods from a Unified Perspective
Zeyinzi Jiang, Chaojie Mao, Ziyuan Huang +3
Parameter-efficient transfer learning (PETL) based on large-scale pre-trained foundation models has achieved great success in various downstream applications. Existing tuning metho…
NGC: A Unified Framework for Learning with Open-World Noisy Data
Zhi-Fan Wu, Tong Wei, Jianwen Jiang +3
The existence of noisy data is prevalent in both the training and testing phases of machine learning systems, which inevitably leads to the degradation of model performance. There…
Multi-Channel Pyramid Person Matching Network for Person Re-Identification
Chaojie Mao, Yingming Li, Yaqing Zhang +2
In this work, we present a Multi-Channel deep convolutional Pyramid Person Matching Network (MC-PPMN) based on the combination of the semantic-components and the color-texture dist…
Pyramid Person Matching Network for Person Re-identification
Chaojie Mao, Yingming Li, Zhongfei Zhang +2
In this work, we present a deep convolutional pyramid person matching network (PPMN) with specially designed Pyramid Matching Module to address the problem of person re-identificat…