What makes a good data augmentation for few-shot unsupervised image anomaly detection?

no code implementations • 6 Apr 2023 • Lingrui Zhang, Shuheng Zhang, Guoyang Xie, Jiaqi Liu, Hua Yan, Jinbao Wang, Feng Zheng, Yaochu Jin

Data augmentation is a promising technique for unsupervised anomaly detection in industrial applications, where the availability of positive samples is often limited due to factors such as commercial competition and sample collection difficulties.

Data Augmentation Unsupervised Anomaly Detection

Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer

1 code implementation • CVPR 2022 • Fushun Zhu, Shan Zhao, Peng Wang, Hao Wang, Hua Yan, Shuaicheng Liu

We propose a semi-supervised network for wide-angle portraits correction.

SASICM A Multi-Task Benchmark For Subtext Recognition

no code implementations • 13 Jun 2021 • Hua Yan, Feng Han, Junyi An, Weikang Xiao, Jian Zhao, Furao Shen

The F1 score of SASICMBERT, whose pretrained model is BERT, is 65. 12%, which is 0. 75% higher than that of SASICMg.

Dual Long Short-Term Memory Networks for Sub-Character Representation Learning

1 code implementation • 23 Dec 2017 • Han He, Lei Wu, Xiaokun Yang, Hua Yan, Zhimin Gao, Yi Feng, George Townsend

To build a concrete study and substantiate the efficiency of our neural architecture, we take Chinese Word Segmentation as a research case example.

Chinese Word Segmentation Representation Learning +1

Effective Neural Solution for Multi-Criteria Word Segmentation

1 code implementation • 7 Dec 2017 • Han He, Lei Wu, Hua Yan, Zhimin Gao, Yi Feng, George Townsend

We present a simple yet elegant solution to train a single joint model on multi-criteria corpora for Chinese Word Segmentation (CWS).

Chinese Word Segmentation Sentence