ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2111.12797
  4. Cited By
ReAct: Out-of-distribution Detection With Rectified Activations

ReAct: Out-of-distribution Detection With Rectified Activations

24 November 2021
Yiyou Sun
Chuan Guo
Yixuan Li
    OODD
ArXivPDFHTML

Papers citing "ReAct: Out-of-distribution Detection With Rectified Activations"

50 / 309 papers shown
Title
Image Background Serves as Good Proxy for Out-of-distribution Data
Image Background Serves as Good Proxy for Out-of-distribution Data
Sen Pei
39
1
0
02 Jul 2023
Exploration and Exploitation of Unlabeled Data for Open-Set
  Semi-Supervised Learning
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning
Ganlong Zhao
Guanbin Li
Yipeng Qin
Jinjin Zhang
Z. Chai
Xiaolin K. Wei
Liang Lin
Yizhou Yu
32
1
0
30 Jun 2023
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust
  Classifiers
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
Chandramouli Shama Sastry
Sri Harsha Dumpala
Sageev Oore
30
0
0
15 Jun 2023
Feed Two Birds with One Scone: Exploiting Wild Data for Both
  Out-of-Distribution Generalization and Detection
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
Haoyue Bai
Gregory H. Canal
Xuefeng Du
Jeongyeol Kwon
Robert D. Nowak
Yixuan Li
OODD
33
45
0
15 Jun 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection
  Capability
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
Jianing Zhu
Hengzhuang Li
Jiangchao Yao
Tongliang Liu
Jianliang Xu
Bo Han
OODD
43
12
0
06 Jun 2023
A Functional Data Perspective and Baseline On Multi-Layer
  Out-of-Distribution Detection
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection
Eduardo Dadalto Camara Gomes
Pierre Colombo
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
OODD
33
2
0
06 Jun 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and
  Generalization
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
Y. Liu
Chris Xing Tian
Haoliang Li
Lei Ma
Shiqi Wang
UQCV
26
19
0
05 Jun 2023
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
Wenyu Jiang
Hao Cheng
Mingcai Chen
Chongjun Wang
Hongxin Wei
OOD
OODD
24
9
0
03 Jun 2023
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
Atsuyuki Miyai
Qing Yu
Go Irie
Kiyoharu Aizawa
OODD
29
64
0
02 Jun 2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
Julian Bitterwolf
Maximilian Müller
Matthias Hein
OODD
19
83
0
01 Jun 2023
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for
  OOD Detection
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection
Sudarshan Regmi
Bibek Panthi
S. Dotel
P. Gyawali
Danail Stoynov
Binod Bhattarai
OODD
32
3
0
28 May 2023
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for
  Out-of-Domain Detection
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection
Rheeya Uppaal
Junjie Hu
Yixuan Li
OODD
119
33
0
22 May 2023
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD
  Detection, Calibration, and Accuracy
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy
Stanislav Dereka
I. Karpukhin
Maksim Zhdanov
Sergey Kolesnikov
36
0
0
19 May 2023
HiNoVa: A Novel Open-Set Detection Method for Automating RF Device
  Authentication
HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication
Luke Puppo
Weng-Keen Wong
B. Hamdaoui
Abdurrahman Elmaghbub
10
4
0
16 May 2023
A Unified Evaluation Framework for Novelty Detection and Accommodation
  in NLP with an Instantiation in Authorship Attribution
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution
Neeraj Varshney
Himanshu Gupta
Eric Robertson
Bin Liu
Chitta Baral
19
1
0
08 May 2023
Detecting Adversarial Faces Using Only Real Face Self-Perturbations
Detecting Adversarial Faces Using Only Real Face Self-Perturbations
Qian Wang
Yongqin Xian
H. Ling
Jinyuan Zhang
Xiaorui Lin
Ping Li
Jiazhong Chen
Ning Yu
AAML
15
8
0
22 Apr 2023
K-means Clustering Based Feature Consistency Alignment for Label-free
  Model Evaluation
K-means Clustering Based Feature Consistency Alignment for Label-free Model Evaluation
Shuyu Miao
Lin Zheng
Jiaheng Liu
and Hong Jin
31
5
0
17 Apr 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective
Unified Out-Of-Distribution Detection: A Model-Specific Perspective
Reza Averly
Wei-Lun Chao
OODD
43
12
0
13 Apr 2023
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution
  Detection
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection
Jingyang Zhang
Nathan Inkawhich
Randolph Linderman
R. Luley
Yiran Chen
H. Li
OODD
16
1
0
25 Mar 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons
LINe: Out-of-Distribution Detection by Leveraging Important Neurons
Yong Hyun Ahn
Gyeong-Moon Park
Seong Tae Kim
OODD
119
31
0
24 Mar 2023
Calibrated Out-of-Distribution Detection with a Generic Representation
Calibrated Out-of-Distribution Detection with a Generic Representation
Tomás Vojír
Jan Sochman
Rahaf Aljundi
Juan E. Sala Matas
OODD
UQCV
19
6
0
23 Mar 2023
AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection
AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection
Puning Yang
Jian Liang
Jie Cao
Ran He
38
12
0
22 Mar 2023
Uncertainty-Aware Optimal Transport for Semantically Coherent
  Out-of-Distribution Detection
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
Fan Lu
Kai Zhu
Wei Zhai
Kecheng Zheng
Yang Cao
UQCV
46
20
0
18 Mar 2023
Finding Competence Regions in Domain Generalization
Finding Competence Regions in Domain Generalization
Jens Müller
Stefan T. Radev
R. Schmier
Felix Dräxler
Carsten Rother
Ullrich Kothe
19
4
0
17 Mar 2023
Detecting Out-of-distribution Examples via Class-conditional Impressions
  Reappearing
Detecting Out-of-distribution Examples via Class-conditional Impressions Reappearing
Jinggang Chen
Xiaoyang Qu
Junjie Li
Jianzong Wang
Ji-guang Wan
Jing Xiao
OODD
18
3
0
17 Mar 2023
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep
  Ensembles are More Efficient than Single Models
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models
Guoxuan Xia
C. Bouganis
UQCV
52
12
0
14 Mar 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant
  Analysis
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis
Yiye Chen
Yunzhi Lin
Ruinian Xu
Patricio A. Vela
OODD
29
3
0
14 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
33
99
0
13 Mar 2023
Making Batch Normalization Great in Federated Deep Learning
Making Batch Normalization Great in Federated Deep Learning
Shitian Zhao
Hong-You Chen
Wei-Lun Chao
FedML
21
9
0
12 Mar 2023
MCROOD: Multi-Class Radar Out-Of-Distribution Detection
MCROOD: Multi-Class Radar Out-Of-Distribution Detection
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
22
9
0
10 Mar 2023
Out-of-distribution Detection with Implicit Outlier Transformation
Out-of-distribution Detection with Implicit Outlier Transformation
Qizhou Wang
Junjie Ye
Feng Liu
Quanyu Dai
Marcus Kalander
Tongliang Liu
Jianye Hao
Bo Han
OODD
149
45
0
09 Mar 2023
Average of Pruning: Improving Performance and Stability of
  Out-of-Distribution Detection
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection
Zhen Cheng
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
MoMe
OODD
40
11
0
02 Mar 2023
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW
  Radar
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW Radar
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
OODD
11
7
0
27 Feb 2023
VRA: Variational Rectified Activation for Out-of-distribution Detection
VRA: Variational Rectified Activation for Out-of-distribution Detection
Ming Xu
Zheng Lian
B. Liu
Jianhua Tao
OODD
19
7
0
23 Feb 2023
Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric
  Perspective
Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric Perspective
Yuhang Zhang
Weihong Deng
Liang Zheng
OODD
29
4
0
16 Feb 2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks
Energy-based Out-of-Distribution Detection for Graph Neural Networks
Qitian Wu
Yiting Chen
Chenxiao Yang
Junchi Yan
OODD
21
57
0
06 Feb 2023
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge
Coen de Vente
Koen A. Vermeer
Nicolas Jaccard
He Wang
Hongyi Sun
...
Abdul Qayyum
Imran Razzak
Bram van Ginneken
H. Lemij
Clara I. Sánchez
23
55
0
03 Feb 2023
Normalizing Flow based Feature Synthesis for Outlier-Aware Object
  Detection
Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection
Nishant Kumar
Sinisa Segvic
Abouzar Eslami
Stefan Gumhold
47
13
0
01 Feb 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise
  and Outlier Data
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data
Jang-Hyun Kim
Sangdoo Yun
Hyun Oh Song
21
18
0
29 Jan 2023
Hybrid Open-set Segmentation with Synthetic Negative Data
Hybrid Open-set Segmentation with Synthetic Negative Data
Matej Grcić
Sinivsa vSegvić
16
6
0
19 Jan 2023
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic
  Images
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images
Zhongzheng Huang
Tao Wang
Yuanzheng Cai
Lingyu Liang
27
0
0
18 Jan 2023
Free Lunch for Generating Effective Outlier Supervision
Sen Pei
Jiaxi Sun
R. Xu
Bin Fan
Shiming Xiang
Gaofeng Meng
OODD
42
0
0
17 Jan 2023
Detection of out-of-distribution samples using binary neuron activation
  patterns
Detection of out-of-distribution samples using binary neuron activation patterns
Bartlomiej Olber
Krystian Radlak
A. Popowicz
Michal Szczepankiewicz
K. Chachula
OODD
11
16
0
29 Dec 2022
Key Feature Replacement of In-Distribution Samples for
  Out-of-Distribution Detection
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection
Jaeyoung Kim
Seo Taek Kong
Dongbin Na
Kyu-Hwan Jung
OODD
16
4
0
26 Dec 2022
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models
Feng Xue
Zi He
Chuanlong Xie
Falong Tan
Zhenguo Li
OODD
33
7
0
24 Dec 2022
Rainproof: An Umbrella To Shield Text Generators From
  Out-Of-Distribution Data
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data
Maxime Darrin
Pablo Piantanida
Pierre Colombo
OODD
50
12
0
18 Dec 2022
Accurate Open-set Recognition for Memory Workload
Accurate Open-set Recognition for Memory Workload
Jun-Gi Jang
Sooyeon Shim
Vladimir Egay
Jeeyong Lee
J. Park
Suhyun Chae
U. Kang
19
3
0
17 Dec 2022
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
Hongxin Wei
Huiping Zhuang
Renchunzi Xie
Lei Feng
Gang Niu
Bo An
Yixuan Li
VLM
NoLa
24
29
0
08 Dec 2022
Block Selection Method for Using Feature Norm in Out-of-distribution
  Detection
Block Selection Method for Using Feature Norm in Out-of-distribution Detection
Yeonguk Yu
Sungho Shin
Seongju Lee
C. Jun
Kyoobin Lee
OODD
19
30
0
05 Dec 2022
YolOOD: Utilizing Object Detection Concepts for Multi-Label
  Out-of-Distribution Detection
YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection
Alon Zolfi
Guy Amit
A. Baras
Satoru Koda
I. Morikawa
Yuval Elovici
A. Shabtai
OODD
22
1
0
05 Dec 2022
Previous
1234567
Next