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Masked Contrastive Learning for Anomaly Detection

Masked Contrastive Learning for Anomaly Detection

18 May 2021
Hyunsoo Cho
Jinseok Seol
Sang-goo Lee
    SSL
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Papers citing "Masked Contrastive Learning for Anomaly Detection"

10 / 10 papers shown
Title
Universal Domain Adaptation for Robust Handling of Distributional Shifts
  in NLP
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP
Hyuhng Joon Kim
Hyunsoo Cho
Sang-Woo Lee
Junyeob Kim
Choonghyun Park
Sang-goo Lee
Kang Min Yoo
Taeuk Kim
VLM
OOD
48
1
0
23 Oct 2023
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive
  Anomaly Detection in Field Robot Navigation
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation
Jihun Han
Tianchen Ji
Yoonsang Lee
Katherine Driggs-Campbell
27
3
0
28 Sep 2023
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection
Jaemin Yoo
Lingxiao Zhao
Leman Akoglu
30
4
0
21 Jun 2023
AGAD: Adversarial Generative Anomaly Detection
AGAD: Adversarial Generative Anomaly Detection
Jian Shi
Ni Zhang
21
0
0
09 Apr 2023
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection
Jian Shi
Pengyi Zhang
Ni Zhang
Hakim Ghazzai
Y. Massoud
MedIm
43
6
0
28 Feb 2023
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution
  Detection
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection
Menglong Chen
Xingtai Gui
Shicai Fan
OODD
13
1
0
06 Feb 2023
Significantly Improving Zero-Shot X-ray Pathology Classification via
  Fine-tuning Pre-trained Image-Text Encoders
Significantly Improving Zero-Shot X-ray Pathology Classification via Fine-tuning Pre-trained Image-Text Encoders
Jongseong Jang
Daeun Kyung
Seunghyeon Kim
Honglak Lee
Kyunghoon Bae
Edward Choi
LM&MA
MedIm
32
10
0
14 Dec 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
Enhancing Out-of-Distribution Detection in Natural Language
  Understanding via Implicit Layer Ensemble
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble
Hyunsoo Cho
Choonghyun Park
Jaewoo Kang
Kang Min Yoo
Taeuk Kim
Sang-goo Lee
OODD
30
8
0
20 Oct 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
1