A Survey on Image-text Multimodal Models

1 code implementation • 23 Sep 2023 • Ruifeng Guo, Jingxuan Wei, Linzhuang Sun, Bihui Yu, Guiyong Chang, Dawei Liu, Sibo Zhang, Zhengbing Yao, Mingjun Xu, Liping Bu

Amidst the evolving landscape of artificial intelligence, the convergence of visual and textual information has surfaced as a crucial frontier, leading to the advent of image-text multimodal models.

Inter-Instance Similarity Modeling for Contrastive Learning

1 code implementation • 21 Jun 2023 • Chengchao Shen, Dawei Liu, Hao Tang, Zhe Qu, Jianxin Wang

In this paper, we propose a novel image mix method, PatchMix, for contrastive learning in Vision Transformer (ViT), to model inter-instance similarities among images.

Contrastive Learning Instance Segmentation +4

Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation

1 code implementation • ICCV 2023 • Zhiqiang Gao, Kaizhu Huang, Rui Zhang, Dawei Liu, Jieming Ma

Recent studies have investigated how to achieve robustness for unsupervised domain adaptation (UDA).

Adversarial Robustness Data Augmentation +2

Machine-learning-based methods for output only structural modal identification

no code implementations • 16 Apr 2020 • Dawei Liu, Zhiyi Tang, Yuequan Bao, Hui Li

A self-coding deep neural network is designed to identify the structural modal parameters from the vibration data of structures.

BIG-bench Machine Learning

Semi-Unsupervised Lifelong Learning for Sentiment Classification: Less Manual Data Annotation and More Self-Studying

no code implementations • 30 Apr 2019 • Xianbin Hong, Gautam Pal, Sheng-Uei Guan, Prudence Wong, Dawei Liu, Ka Lok Man, Xin Huang

Lifelong machine learning is a novel machine learning paradigm which can continually accumulate knowledge during learning.

BIG-bench Machine Learning General Classification +2