Search Results for author: Sihong Chen

Found 11 papers, 4 papers with code

Enhanced Few-Shot Class-Incremental Learning via Ensemble Models

no code implementations14 Jan 2024 Mingli Zhu, Zihao Zhu, Sihong Chen, Chen Chen, Baoyuan Wu

To tackle overfitting challenge, we design a new ensemble model framework cooperated with data augmentation to boost generalization.

Data Augmentation Few-Shot Class-Incremental Learning +2

TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities

3 code implementations13 Dec 2022 Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan

The proposed pre-training models of different modalities are showing a rising trend of homogeneity in their model structures, which brings the opportunity to implement different pre-training models within a uniform framework.

Adversarial Learning with Cost-Sensitive Classes

no code implementations29 Jan 2021 Haojing Shen, Sihong Chen, Ran Wang, XiZhao Wang

This paper proposes a framework combining cost-sensitive classification and adversarial learning together to train a model that can distinguish between protected and unprotected classes, such that the protected classes are less vulnerable to adversarial examples.

Adversarial Robustness

Incorporating Hidden Layer representation into Adversarial Attacks and Defences

no code implementations28 Nov 2020 Haojing Shen, Sihong Chen, Ran Wang, XiZhao Wang

In this paper, we propose a defence strategy to improve adversarial robustness by incorporating hidden layer representation.

Adversarial Robustness

A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks

no code implementations27 Nov 2020 Haojing Shen, Sihong Chen, Ran Wang

This paper points out a changing tendency of uncertainty in the convolutional layers of LeNet structure, and gives some insights to the interpretability of convolution.

Adversarial Robustness

TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos

no code implementations1 Apr 2019 Sihong Chen, Kai Ma, Yefeng Zheng

Instead of using three networks with one dedicating to each task, we use a multi-task network to perform three tasks simultaneously.

LV Segmentation Optical Flow Estimation +1

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