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Anomaly Detection via Reverse Distillation from One-Class Embedding

Anomaly Detection via Reverse Distillation from One-Class Embedding

26 January 2022
Hanqiu Deng
Xingyu Li
    UQCV
ArXivPDFHTML

Papers citing "Anomaly Detection via Reverse Distillation from One-Class Embedding"

16 / 66 papers shown
Title
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and
  Masked Multi-scale Reconstruction
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction
Zilong Zhang
Zhibin Zhao
Xingwu Zhang
Chuang Sun
Xuefeng Chen
19
49
0
05 Apr 2023
Visual Anomaly Detection via Dual-Attention Transformer and
  Discriminative Flow
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow
Haiming Yao
Wei Luo
Wenyong Yu
ViT
26
3
0
31 Mar 2023
Anomaly Detection under Distribution Shift
Anomaly Detection under Distribution Shift
T. Cao
Jiawen Zhu
Guansong Pang
45
26
0
24 Mar 2023
Focus or Not: A Baseline for Anomaly Event Detection On the Open Public Places with Satellite Images
Y. Jeon
Youngtack Oh
Doyoung Jeong
Hyunguk Choi
Junsik Kim
25
0
0
21 Mar 2023
Whole-slide-imaging Cancer Metastases Detection and Localization with
  Limited Tumorous Data
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data
Yinsheng He
Xingyu Li
MedIm
25
2
0
18 Mar 2023
Learning Global-Local Correspondence with Semantic Bottleneck for
  Logical Anomaly Detection
Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection
Haiming Yao
Wenyong Yu
Wei Luo
Zhenfeng Qiang
Donghao Luo
Xiaotian Zhang
29
21
0
10 Mar 2023
Diversity-Measurable Anomaly Detection
Diversity-Measurable Anomaly Detection
Wenrui Liu
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
29
56
0
09 Mar 2023
FractalAD: A simple industrial anomaly detection method using fractal
  anomaly generation and backbone knowledge distillation
FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation
X. Xia
Weijie Lv
Xing He
Nan Li
Chuanqi Liu
Ning Ding
29
1
0
30 Jan 2023
Prototypical Residual Networks for Anomaly Detection and Localization
Prototypical Residual Networks for Anomaly Detection and Localization
H. Zhang
Zuxuan Wu
Z. Wang
Zhineng Chen
Yuwei Jiang
UQCV
AI4TS
35
62
0
05 Dec 2022
Lightning Fast Video Anomaly Detection via Adversarial Knowledge
  Distillation
Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation
Florinel-Alin Croitoru
Nicolae-Cătălin Ristea
D. Dascalescu
Radu Tudor Ionescu
F. Khan
M. Shah
34
2
0
28 Nov 2022
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly
  Detection
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
Xuan Zhang
Shiyu Li
Xi Li
Ping-Chia Huang
Jiulong Shan
Ting Chen
16
126
0
21 Nov 2022
Anomaly Detection via Multi-Scale Contrasted Memory
Anomaly Detection via Multi-Scale Contrasted Memory
Loic Jezequel
Ngoc-Son Vu
Jean Beaudet
A. Histace
27
0
0
16 Nov 2022
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few
  Normal Samples
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples
Jianjian Qin
Chunzhi Gu
Junzhou Yu
Chaoxi Zhang
3DPC
26
12
0
31 Oct 2022
Reconstruction from edge image combined with color and gradient
  difference for industrial surface anomaly detection
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection
Tongkun Liu
Bing Li
Zhu Zhao
Xiaoyu Du
Bin Jiang
Leqi Geng
28
35
0
26 Oct 2022
Distilling Knowledge via Knowledge Review
Distilling Knowledge via Knowledge Review
Pengguang Chen
Shu-Lin Liu
Hengshuang Zhao
Jiaya Jia
149
420
0
19 Apr 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
317
11,681
0
09 Mar 2017
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