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Improving Anomaly Segmentation with Multi-Granularity Cross-Domain
  Alignment
v1v2 (latest)

Improving Anomaly Segmentation with Multi-Granularity Cross-Domain Alignment

16 August 2023
Ji Zhang
Xiao-Jun Wu
Zhi-Qi Cheng
Qin He
Wei Li
ArXiv (abs)PDFHTML

Papers citing "Improving Anomaly Segmentation with Multi-Granularity Cross-Domain Alignment"

37 / 37 papers shown
Title
LongShortNet: Exploring Temporal and Semantic Features Fusion in
  Streaming Perception
LongShortNet: Exploring Temporal and Semantic Features Fusion in Streaming Perception
Chenyang Li
Zhi-Qi Cheng
Jun-Yan He
Pengyu Li
Bin Luo
Hanzao Chen
Yifeng Geng
Jinpeng Lan
Xuansong Xie
75
13
0
27 Oct 2022
ProContEXT: Exploring Progressive Context Transformer for Tracking
ProContEXT: Exploring Progressive Context Transformer for Tracking
Jinpeng Lan
Zhi-Qi Cheng
Ju He
Chenyang Li
Bin Luo
Xueting Bao
Wangmeng Xiang
Yifeng Geng
Xuansong Xie
78
31
0
27 Oct 2022
Multi-scale and Cross-scale Contrastive Learning for Semantic
  Segmentation
Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation
Theodoros Pissas
Claudio S. Ravasio
L. Cruz
Christos Bergeles
84
15
0
25 Mar 2022
Standardized Max Logits: A Simple yet Effective Approach for Identifying
  Unexpected Road Obstacles in Urban-Scene Segmentation
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
Sanghun Jung
Jungsoo Lee
Daehoon Gwak
Sungha Choi
Jaegul Choo
125
96
0
23 Jul 2021
Subspace Representation Learning for Few-shot Image Classification
Subspace Representation Learning for Few-shot Image Classification
Ting-Yao Hu
Zhi-Qi Cheng
Alexander G. Hauptmann
79
5
0
02 May 2021
Pixel-wise Anomaly Detection in Complex Driving Scenes
Pixel-wise Anomaly Detection in Complex Driving Scenes
Giancarlo Di Biase
Hermann Blum
Roland Siegwart
Cesar Cadena
UQCV
56
156
0
09 Mar 2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Wenguan Wang
Tianfei Zhou
Feng Yu
Jifeng Dai
E. Konukoglu
Luc Van Gool
196
481
0
28 Jan 2021
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature
  Magnitude Learning
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
Yu Tian
Guansong Pang
Yuanhong Chen
Rajvinder Singh
Johan Verjans
G. Carneiro
AI4TS
86
310
0
25 Jan 2021
Energy-based Out-of-distribution Detection
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
271
1,371
0
08 Oct 2020
Detection and Retrieval of Out-of-Distribution Objects in Semantic
  Segmentation
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation
Philipp Oberdiek
Matthias Rottmann
G. Fink
53
30
0
14 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
165
4,572
0
23 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
387
18,866
0
13 Feb 2020
Scaling Out-of-Distribution Detection for Real-World Settings
Scaling Out-of-Distribution Detection for Real-World Settings
Dan Hendrycks
Steven Basart
Mantas Mazeika
Andy Zou
Joe Kwon
Mohammadreza Mostajabi
Jacob Steinhardt
Basel Alomair
OODD
193
486
0
25 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
213
12,124
0
13 Nov 2019
Learning Spatial Awareness to Improve Crowd Counting
Learning Spatial Awareness to Improve Crowd Counting
Zhi-Qi Cheng
Jun-Xiu Li
Qi Dai
Xiao-Jun Wu
Alexander G. Hauptmann
3DPC
54
130
0
16 Sep 2019
Simultaneous Semantic Segmentation and Outlier Detection in Presence of
  Domain Shift
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift
Petra Bevandić
Ivan Kreso
Marin Orsic
Sinisa Segvic
73
82
0
03 Aug 2019
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic
  Segmentation
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
Hermann Blum
Paul-Edouard Sarlin
Juan I. Nieto
Roland Siegwart
Cesar Cadena
UQCV
61
159
0
05 Apr 2019
Semantic Image Synthesis with Spatially-Adaptive Normalization
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park
Ming-Yuan Liu
Ting-Chun Wang
Jun-Yan Zhu
166
2,691
0
18 Mar 2019
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
183
1,487
0
11 Dec 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and
  Adversarial Attacks
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Kimin Lee
Kibok Lee
Honglak Lee
Jinwoo Shin
OODD
192
2,062
0
10 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
182
3,466
0
05 May 2018
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain
  MR Images
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images
Christoph Baur
Benedikt Wiestler
Shadi Albarqouni
Nassir Navab
UQCVMedIm
55
442
0
12 Apr 2018
Predictive Uncertainty Estimation via Prior Networks
Predictive Uncertainty Estimation via Prior Networks
A. Malinin
Mark Gales
UDBDLEDLUQCVPER
197
923
0
28 Feb 2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OODSSeg
154
1,547
0
28 Feb 2018
Training Confidence-calibrated Classifiers for Detecting
  Out-of-Distribution Samples
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
128
882
0
26 Nov 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDLOODUDUQCVPER
362
4,719
0
15 Mar 2017
FCNs in the Wild: Pixel-level Adversarial and Constraint-based
  Adaptation
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Judy Hoffman
Dequan Wang
Feng Yu
Trevor Darrell
OOD
102
791
0
08 Dec 2016
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCVBDL
842
5,841
0
05 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
171
3,472
0
07 Oct 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
267
18,267
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
747
37,890
0
20 May 2016
Training Region-based Object Detectors with Online Hard Example Mining
Training Region-based Object Detectors with Online Hard Example Mining
Abhinav Shrivastava
Abhinav Gupta
Ross B. Girshick
ObjD
154
2,421
0
12 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,644
0
06 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
177
2,985
0
30 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLMSSL
97
1,014
0
22 Mar 2016
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
242
6,041
0
26 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,595
0
01 Sep 2014
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