25 citations · 29 across the 4 of their papers we have counts for
4 papers
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Jiahua Dong, Wenqi Liang, Yang Cong +1
Class-incremental learning (CIL) has achieved remarkable successes in learning new classes consecutively while overcoming catastrophic forgetting on old categories. However, most e…
Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing
Guangcong Wang, Guangrun Wang, Wenqi Liang +1
We present a weight similarity measure method that can quantify the weight similarity of non-convex neural networks. To understand the weight similarity of different trained models…
Learnable Parameter Similarity
Guangcong Wang, Jianhuang Lai, Wenqi Liang +1
Most of the existing approaches focus on specific visual tasks while ignoring the relations between them. Estimating task relation sheds light on the learning of high-order semanti…
M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification
Wenqi Liang, Guangcong Wang, Jianhuang Lai +1
Cross-domain transfer learning (CDTL) is an extremely challenging task for the person re-identification (ReID). Given a source domain with annotations and a target domain without a…