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Chenchen Tao

2 accepted papers

2024

Distill Vision Transformers to CNNs via Teacher Collaboration

ICASSP 2024accepted

The vision transformer (ViT) has recently emerged as a leading approach in various domains, outperforming other methods. Therefore, it is logical to explore the possibility of transferring the superior knowledge from ViT to more compact and cost-effective convolutional neural networks (CNNs). Howeve…

Cited by 0SourceScholar
2022

Novel Instance Mining with Pseudo-Margin Evaluation for Few-Shot Object Detection

ICASSP 2022accepted

Few-shot object detection (FSOD) enables the detector to recognize novel objects only using limited training samples, which could greatly alleviate model’s dependency on data. Most existing methods include two training stages, namely base training and fine-tuning. However, the unlabeled novel instan…

Cited by 0SourceScholar