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Mingqi Jiang

2 accepted papers

2024

Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods

CVPR 2024poster

In order to gain insights about the decision-making of different visual recognition backbones we propose two methodologies sub-explanation counting and cross-testing that systematically applies deep explanation algorithms on a dataset-wide basis and compares the statistics generated from the amount…

Cited by 13SourcePDFScholar
2024

Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions

CVPR 2024poster

Despite extensive research on training generative adversarial networks (GANs) with limited training data learning to generate images from long-tailed training distributions remains fairly unexplored. In the presence of imbalanced multi-class training data GANs tend to favor classes with more samples…