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MOS: Towards Scaling Out-of-distribution Detection for Large Semantic
  Space

MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space

5 May 2021
Rui Huang
Yixuan Li
    OODD
ArXivPDFHTML

Papers citing "MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space"

32 / 32 papers shown
Title
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
Zhiwei Ling
Yachen Chang
Hailiang Zhao
Xinkui Zhao
Kingsum Chow
Shuiguang Deng
OODD
58
0
0
01 Mar 2025
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
Ning Liao
Xiaopeng Zhang
Minglu Cao
Junchi Yan
VPVLM
VLM
43
0
0
31 Dec 2024
Going Beyond Conventional OOD Detection
Sudarshan Regmi
OODD
52
1
0
16 Nov 2024
Process Reward Model with Q-Value Rankings
Process Reward Model with Q-Value Rankings
W. Li
Yixuan Li
LRM
45
14
0
15 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained
  Vision-Language Models
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
Mengyuan Chen
Junyu Gao
Changsheng Xu
VLM
OODD
23
0
0
11 Oct 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
73
1
0
21 Jun 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Yingwen Wu
Ruiji Yu
Xinwen Cheng
Zhengbao He
Xiaolin Huang
OODD
64
1
0
28 May 2024
Out-of-distribution detection based on subspace projection of
  high-dimensional features output by the last convolutional layer
Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer
Qiuyu Zhu
Yiwei He
OODD
19
1
0
02 May 2024
Advancing Out-of-Distribution Detection through Data Purification and
  Dynamic Activation Function Design
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design
Yingrui Ji
Yao Zhu
Zhigang Li
Jiansheng Chen
Yun-long Kong
Jingbo Chen
OODD
35
0
0
06 Mar 2024
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy
Will LeVine
Benjamin Pikus
Jacob Phillips
Berk Norman
Fernando Amat Gil
Sean Hendryx
OODD
47
1
0
22 Jan 2024
ExCeL : Combined Extreme and Collective Logit Information for Enhancing
  Out-of-Distribution Detection
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection
Naveen Karunanayake
Suranga Seneviratne
Sanjay Chawla
OODD
17
1
0
23 Nov 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using
  FMCW Radar
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
33
3
0
24 Jul 2023
Image Background Serves as Good Proxy for Out-of-distribution Data
Image Background Serves as Good Proxy for Out-of-distribution Data
Sen Pei
30
1
0
02 Jul 2023
AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection
AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection
Puning Yang
Jian Liang
Jie Cao
R. He
25
12
0
22 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
13
3
0
14 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
35
11
0
02 Mar 2023
Free Lunch for Generating Effective Outlier Supervision
Sen Pei
Jiaxi Sun
R. Xu
Bin Fan
Shiming Xiang
Gaofeng Meng
OODD
30
0
0
17 Jan 2023
Rethinking Out-of-Distribution Detection From a Human-Centric
  Perspective
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective
Yao Zhu
YueFeng Chen
Xiaodan Li
Rong Zhang
Hui Xue
Xiang Tian
Rongxin Jiang
Bo Zheng
Yao-wu Chen
OODD
19
7
0
30 Nov 2022
Delving into Out-of-Distribution Detection with Vision-Language
  Representations
Delving into Out-of-Distribution Detection with Vision-Language Representations
Yifei Ming
Ziyan Cai
Jiuxiang Gu
Yiyou Sun
W. Li
Yixuan Li
VLM
OODD
22
157
0
24 Nov 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
158
148
0
20 Sep 2022
OpenCon: Open-world Contrastive Learning
OpenCon: Open-world Contrastive Learning
Yiyou Sun
Yixuan Li
VLM
SSL
DRL
37
39
0
04 Aug 2022
How Useful are Gradients for OOD Detection Really?
How Useful are Gradients for OOD Detection Really?
Conor Igoe
Youngseog Chung
I. Char
J. Schneider
OODD
17
23
0
20 May 2022
Out-of-Distribution Detection with Deep Nearest Neighbors
Out-of-Distribution Detection with Deep Nearest Neighbors
Yiyou Sun
Yifei Ming
Xiaojin Zhu
Yixuan Li
OODD
19
485
0
13 Apr 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution
  Detection
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection
Umar Khalid
Ashkan Esmaeili
Nazmul Karim
Nazanin Rahnavard
OODD
29
12
0
06 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly
  Detection
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
Choubo Ding
Guansong Pang
Chunhua Shen
OOD
11
111
0
28 Mar 2022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution
  Detection?
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
Yifei Ming
Yiyou Sun
Ousmane Amadou Dia
Yixuan Li
OODD
22
94
0
08 Mar 2022
Provable Guarantees for Understanding Out-of-distribution Detection
Provable Guarantees for Understanding Out-of-distribution Detection
Peyman Morteza
Yixuan Li
OODD
22
86
0
01 Dec 2021
ReAct: Out-of-distribution Detection With Rectified Activations
ReAct: Out-of-distribution Detection With Rectified Activations
Yiyou Sun
Chuan Guo
Yixuan Li
OODD
17
453
0
24 Nov 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
870
0
21 Oct 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection
On the Impact of Spurious Correlation for Out-of-distribution Detection
Yifei Ming
Hang Yin
Yixuan Li
OODD
144
74
0
12 Sep 2021
No True State-of-the-Art? OOD Detection Methods are Inconsistent across
  Datasets
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets
Fahim Tajwar
Ananya Kumar
Sang Michael Xie
Percy Liang
OODD
14
21
0
12 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
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