Towards Robust and Accurate Visual Prompting

no code implementations • 18 Nov 2023 • Qi Li, Liangzhi Li, Zhouqiang Jiang, Bowen Wang

Visual prompting, an efficient method for transfer learning, has shown its potential in vision tasks.

Adversarial Robustness Transfer Learning +1

Concatenated Masked Autoencoders as Spatial-Temporal Learner

1 code implementation • 2 Nov 2023 • Zhouqiang Jiang, Bowen Wang, Tong Xiang, Zhaofeng Niu, Hong Tang, Guangshun Li, Liangzhi Li

Learning representations from videos requires understanding continuous motion and visual correspondences between frames.

Action Recognition Data Augmentation +3

IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning

1 code implementation • 23 Aug 2023 • Feiyu Zhang, Liangzhi Li, JunHao Chen, Zhouqiang Jiang, Bowen Wang, Yiming Qian

This approach is different from the pruning method as it is not limited by the initial number of training parameters, and each parameter matrix has a higher rank upper bound for the same training overhead.