Search Results for author: Yunlong Zhang

Found 6 papers, 2 papers with code

AFSC: Adaptive Fourier Space Compression for Anomaly Detection

no code implementations17 Apr 2022 Haote Xu, Yunlong Zhang, Liyan Sun, Chenxin Li, Yue Huang, Xinghao Ding

Data augmentation based methods construct pseudo-healthy images by "pasting" fake lesions on real healthy ones, and a network is trained to predict healthy images in a supervised manner.

Anomaly Detection Data Augmentation

Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis

1 code implementation29 Mar 2022 Yunlong Zhang, Xin Lin, Yihong Zhuang, LiyanSun, Yue Huang, Xinghao Ding, Guisheng Wang, Lin Yang, Yizhou Yu

Comprehensive experiments on the T2 modality of BraTS demonstrate that the proposed method substantially outperforms the state-of-the-art methods.

Image Enhancement Medical Image Segmentation +1

Patterns of near-crash events in a naturalistic driving dataset: applying rules mining

no code implementations17 Jan 2022 Xiaoqiang Konga, Subasish Das, Hongmin Zhou, Yunlong Zhang

This study aims to explore the associations between near-crash events and road geometry and trip features by investigating a naturalistic driving dataset and a corresponding roadway inventory dataset using an association rule mining method.

Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation

no code implementations16 Mar 2021 Chenxin Li, Yunlong Zhang, Jiongcheng Li, Yue Huang, Xinghao Ding

In this paper, to alleviate this issue, we introduce the semantic space of healthy anatomy in the process of modeling healthy-data distribution.

Anomaly Detection Dimensionality Reduction +1

Consistent Posterior Distributions under Vessel-Mixing: A Regularization for Cross-Domain Retinal Artery/Vein Classification

no code implementations16 Mar 2021 Chenxin Li, Yunlong Zhang, Zhehan Liang, Wenao Ma, Yue Huang, Xinghao Ding

In this paper, we propose a novel vessel-mixing based consistency regularization framework, for cross-domain learning in retinal A/V classification.

Classification General Classification

Hard Class Rectification for Domain Adaptation

1 code implementation8 Aug 2020 Yunlong Zhang, Changxing Jing, Huangxing Lin, Chaoqi Chen, Yue Huang, Xinghao Ding, Yang Zou

Second, we further consider that the predictions of target samples belonging to the hard class are vulnerable to perturbations.

Unsupervised Domain Adaptation

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