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2106.03844
Cited By
Mean-Shifted Contrastive Loss for Anomaly Detection
7 June 2021
Tal Reiss
Yedid Hoshen
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Papers citing
"Mean-Shifted Contrastive Loss for Anomaly Detection"
28 / 28 papers shown
Title
PathoSCOPE: Few-Shot Pathology Detection via Self-Supervised Contrastive Learning and Pathology-Informed Synthetic Embeddings
Sinchee Chin
Yinuo Ma
Xiaochen Yang
Jing-Hao Xue
Wenming Yang
SSL
MedIm
37
0
0
23 May 2025
When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity
Nesryne Mejri
Enjie Ghorbel
Anis Kacem
Pavel Chernakov
Niki Maria Foteinopoulou
Djamila Aouada
86
0
0
28 Feb 2025
Killing it with Zero-Shot: Adversarially Robust Novelty Detection
Hossein Mirzaei
Mohammad Jafari
Hamid Reza Dehbashi
Zeinab Sadat Taghavi
Mohammad Sabokrou
M. Rohban
101
1
0
28 Jan 2025
Set Features for Anomaly Detection
Niv Cohen
Issar Tzachor
Yedid Hoshen
109
0
0
24 Nov 2023
Understanding the Behaviour of Contrastive Loss
Feng Wang
Huaping Liu
SSL
77
679
0
15 Dec 2020
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
192
3,992
0
20 Nov 2020
Learning and Evaluating Representations for Deep One-class Classification
Kihyuk Sohn
Chun-Liang Li
Jinsung Yoon
Minho Jin
Tomas Pfister
SSL
107
199
0
04 Nov 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
Tal Reiss
Niv Cohen
Liron Bergman
Yedid Hoshen
45
249
0
12 Oct 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
Jihoon Tack
Sangwoo Mo
Jongheon Jeong
Jinwoo Shin
OODD
36
595
0
16 Jul 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
276
6,718
0
13 Jun 2020
Rethinking Assumptions in Deep Anomaly Detection
Lukas Ruff
Robert A. Vandermeulen
Billy Joe Franks
Klaus-Robert Muller
Marius Kloft
57
89
0
30 May 2020
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Tongzhou Wang
Phillip Isola
SSL
99
1,808
0
20 May 2020
Classification-Based Anomaly Detection for General Data
Liron Bergman
Yedid Hoshen
42
348
0
05 May 2020
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
423
3,397
0
09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
255
18,607
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
113
12,007
0
13 Nov 2019
Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark
Ke Li
G. Wan
Gong Cheng
L. Meng
Junwei Han
35
1,433
0
31 Aug 2019
Detecting semantic anomalies
Faruk Ahmed
Aaron Courville
36
83
0
13 Aug 2019
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks
Mantas Mazeika
Saurav Kadavath
D. Song
OOD
SSL
31
940
0
28 Jun 2019
Deep Anomaly Detection Using Geometric Transformations
I. Golan
Ran El-Yaniv
64
603
0
28 May 2018
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
198
3,272
0
21 Mar 2018
Learning Deep Features for One-Class Classification
Pramuditha Perera
Vishal M. Patel
98
370
0
16 Jan 2018
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
268
7,410
0
02 Dec 2016
What makes ImageNet good for transfer learning?
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
OOD
SSeg
VLM
SSL
92
675
0
30 Aug 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
135
2,973
0
30 Mar 2016
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
112
3,527
0
28 Mar 2016
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
69
1,012
0
22 Mar 2016
Deep multi-scale video prediction beyond mean square error
Michaël Mathieu
Camille Couprie
Yann LeCun
GAN
107
1,880
0
17 Nov 2015
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