Search Results for author: Boyan Zhou

Found 5 papers, 4 papers with code

Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective

1 code implementation8 Mar 2022 Quan Cui, Bingchen Zhao, Zhao-Min Chen, Borui Zhao, RenJie Song, Jiajun Liang, Boyan Zhou, Osamu Yoshie

This work simultaneously considers the discriminability and transferability properties of deep representations in the typical supervised learning task, i. e., image classification.

Image Classification Transfer Learning

Contrastive Vision-Language Pre-training with Limited Resources

1 code implementation17 Dec 2021 Quan Cui, Boyan Zhou, Yu Guo, Weidong Yin, Hao Wu, Osamu Yoshie, Yubo Chen

However, these works require a tremendous amount of data and computational resources (e. g., billion-level web data and hundreds of GPUs), which prevent researchers with limited resources from reproduction and further exploration.

Contrastive Learning

Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks

2 code implementations Association for the Advancement of Artificial Intelligence 2021 Yongshun Zhang, Xiu-Shen Wei, Boyan Zhou, Jianxin Wu

In recent years, visual recognition on challenging long-tailed distributions, where classes often exhibit extremely imbalanced frequencies, has made great progress mostly based on various complex paradigms (e. g., meta learning).

Data Augmentation Meta-Learning

BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

1 code implementation CVPR 2020 Boyan Zhou, Quan Cui, Xiu-Shen Wei, Zhao-Min Chen

Extensive experiments on four benchmark datasets, including the large-scale iNaturalist ones, justify that the proposed BBN can significantly outperform state-of-the-art methods.

Long-tail Learning Representation Learning

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