Search Results for author: Guoyang Xie

Found 12 papers, 6 papers with code

Real3D-AD: A Dataset of Point Cloud Anomaly Detection

1 code implementation NeurIPS 2023 Jiaqi Liu, Guoyang Xie, Ruitao Chen, Xinpeng Li, Jinbao Wang, Yong liu, Chengjie Wang, Feng Zheng

High-precision point cloud anomaly detection is the gold standard for identifying the defects of advancing machining and precision manufacturing.

3D Anomaly Detection

EasyNet: An Easy Network for 3D Industrial Anomaly Detection

no code implementations26 Jul 2023 Ruitao Chen, Guoyang Xie, Jiaqi Liu, Jinbao Wang, Ziqi Luo, Jinfan Wang, Feng Zheng

3D anomaly detection is an emerging and vital computer vision task in industrial manufacturing (IM).

3D Anomaly Detection

K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment

no code implementations10 Jul 2023 Guoyang Xie, Jinbao Wang, Yawen Huang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin

To further reflect the frequency-specific information from the magnetic resonance imaging principles, both k-space features and vision features are obtained and employed in our comprehensive encoders with a frequency reconstruction penalty.

Image Generation SSIM

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

no code implementations6 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

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing

2 code implementations31 Jan 2023 Guoyang Xie, Jinbao Wang, Jiaqi Liu, Jiayi Lyu, Yong liu, Chengjie Wang, Feng Zheng, Yaochu Jin

We realize that the lack of a uniform IM benchmark is hindering the development and usage of IAD methods in real-world applications.

Anomaly Detection Continual Learning +1

Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore

no code implementations28 Jan 2023 Guoyang Xie, Jinbao Wang, Jiaqi Liu, Feng Zheng, Yaochu Jin

Besides, we provide a novel model GraphCore via VIIFs that can fast implement unsupervised FSAD training and can improve the performance of anomaly detection.

Anomaly Detection

Deep Industrial Image Anomaly Detection: A Survey

1 code implementation27 Jan 2023 Jiaqi Liu, Guoyang Xie, Jinbao Wang, Shangnian Li, Chengjie Wang, Feng Zheng, Yaochu Jin

In this paper, we provide a comprehensive review of deep learning-based image anomaly detection techniques, from the perspectives of neural network architectures, levels of supervision, loss functions, metrics and datasets.

Anomaly Detection

A Survey of Visual Sensory Anomaly Detection

1 code implementation14 Feb 2022 Xi Jiang, Guoyang Xie, Jinbao Wang, Yong liu, Chengjie Wang, Feng Zheng, Yaochu Jin

In this survey, we are the first one to provide a comprehensive review of visual sensory AD and category into three levels according to the form of anomalies.

Anomaly Detection

Cross-Modality Neuroimage Synthesis: A Survey

no code implementations14 Feb 2022 Guoyang Xie, Yawen Huang, Jinbao Wang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin

This is followed by a stepwise in-depth analysis to evaluate how cross-modality neuroimage synthesis improves the performance of its downstream tasks.

Image Generation Weakly-supervised Learning

FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss

1 code implementation29 Jan 2022 Jinbao Wang, Guoyang Xie, Yawen Huang, Yefeng Zheng, Yaochu Jin, Feng Zheng

The proposed method demonstrates the advanced performance in both the quality of our synthesized results under a severely misaligned and unpaired data setting, and better stability than other GAN-based algorithms.

Data Augmentation Image Generation +1

FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality Brain Image Synthesis

1 code implementation22 Jan 2022 Jinbao Wang, Guoyang Xie, Yawen Huang, Jiayi Lyu, Yefeng Zheng, Feng Zheng, Yaochu Jin

There is a clear need to launch a federated learning and facilitate the integration of the dispersed data from different institutions.

Federated Learning Image Generation +1

Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search

no code implementations28 Feb 2021 Guoyang Xie, Jinbao Wang, Guo Yu, Feng Zheng, Yaochu Jin

Our work focuses on how to improve the robustness of tiny neural networks without seriously deteriorating of clean accuracy under mobile-level resources.

Neural Architecture Search

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