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Out-of-Distribution Detection with Deep Nearest Neighbors

Out-of-Distribution Detection with Deep Nearest Neighbors

13 April 2022
Yiyou Sun
Yifei Ming
Xiaojin Zhu
Yixuan Li
    OODD
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Papers citing "Out-of-Distribution Detection with Deep Nearest Neighbors"

50 / 72 papers shown
Title
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Shenzhi Yang
Bin Liang
An Liu
Lin Gui
Xingkai Yao
Xiaofang Zhang
OODD
57
3
0
18 Apr 2025
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
Bin Zhang
Xiaoyang Qu
Guokuan Li
Jiguang Wan
Jianzong Wang
VLM
51
0
0
28 Mar 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Ruiyao Xu
Kaize Ding
53
5
0
17 Feb 2025
DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation
DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation
James R. Han
Hugues Thomas
Jian Zhang
Nicholas Rhinehart
T. Barfoot
59
1
0
17 Feb 2025
PDA: Generalizable Detection of AI-Generated Images via Post-hoc Distribution Alignment
PDA: Generalizable Detection of AI-Generated Images via Post-hoc Distribution Alignment
Li Wang
Wenyu Chen
Zheng Li
Shanqing Guo
34
0
0
15 Feb 2025
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception
Divake Kumar
Nastaran Darabi
Sina Tayebati
A. R. Trivedi
69
0
0
11 Feb 2025
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition
Arthur Hoarau
Benjamin Quost
Sébastien Destercke
Willem Waegeman
UQCV
UD
PER
61
0
0
30 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
Nicolas Atienza
Christophe Labreuche
Johanne Cohen
Michele Sebag
OODD
AAML
78
0
0
20 Jan 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Yuanpeng Tu
Yuxi Li
Boshen Zhang
Liang Liu
J. Zhang
Y. Wang
C. Zhao
51
3
0
03 Jan 2025
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects
Zizhao Li
Zhengkang Xiang
Joseph West
Kourosh Khoshelham
ObjD
VLM
94
1
0
27 Nov 2024
Going Beyond Conventional OOD Detection
Sudarshan Regmi
OODD
52
1
0
16 Nov 2024
Deep Active Learning in the Open World
Deep Active Learning in the Open World
Tian Xie
Jifan Zhang
Haoyue Bai
R. Nowak
VLM
65
0
0
10 Nov 2024
DSDE: Using Proportion Estimation to Improve Model Selection for
  Out-of-Distribution Detection
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection
Jingyao Geng
Yuan Zhang
Jiaqi Huang
Feng Xue
Falong Tan
Chuanlong Xie
Shumei Zhang
OODD
26
0
0
03 Nov 2024
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection
Tianhao Zhang
Zhixiang Chen
Lyudmila Mihaylova
43
0
0
27 Oct 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Seulbi Lee
J. Kim
Sangheum Hwang
LRM
57
0
0
19 Oct 2024
Open World Object Detection: A Survey
Open World Object Detection: A Survey
Yiming Li
Yi Wang
Wenqian Wang
Dan Lin
Bingbing Li
Kim-Hui Yap
ObjD
30
0
0
15 Oct 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
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Shuangpeng Han
Mengmi Zhang
50
0
0
03 Oct 2024
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
Junkun Chen
Jilin Mei
Liang Chen
Fangzhou Zhao
Yu Hu
Yu Hu
ObjD
40
0
0
09 Sep 2024
Can OOD Object Detectors Learn from Foundation Models?
Can OOD Object Detectors Learn from Foundation Models?
Jiahui Liu
Xin Wen
Shizhen Zhao
Y. Chen
Xiaojuan Qi
OODD
38
2
0
08 Sep 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with
  Subspace-Based Out-of-Distribution Detection
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
OODD
34
1
0
16 Jul 2024
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Hang Su
Jun Zhu
CLL
45
4
0
07 Jul 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
Wataru Hashimoto
Hidetaka Kamigaito
Taro Watanabe
52
0
0
02 Jul 2024
GalLoP: Learning Global and Local Prompts for Vision-Language Models
GalLoP: Learning Global and Local Prompts for Vision-Language Models
Marc Lafon
Elias Ramzi
Clément Rambour
Nicolas Audebert
Nicolas Thome
VLM
29
7
0
01 Jul 2024
Combine and Conquer: A Meta-Analysis on Data Shift and
  Out-of-Distribution Detection
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
Eduardo Dadalto
F. Alberge
Pierre Duhamel
Pablo Piantanida
OODD
31
0
0
23 Jun 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
68
1
0
21 Jun 2024
Continual Unsupervised Out-of-Distribution Detection
Continual Unsupervised Out-of-Distribution Detection
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
OODD
29
0
0
04 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
WeiPer: OOD Detection using Weight Perturbations of Class Projections
WeiPer: OOD Detection using Weight Perturbations of Class Projections
Maximilian Granz
Manuel Heurich
Tim Landgraf
OODD
32
1
0
27 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing
  Extreme Activations
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
Mohammad Azizmalayeri
Ameen Abu-Hanna
Giovanni Cina
OODD
28
1
0
21 May 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion
  Model
Out-of-Distribution Detection with a Single Unconditional Diffusion Model
Alvin Heng
Alexandre H. Thiery
Harold Soh
31
0
0
20 May 2024
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
Andi Zhang
Tim Z. Xiao
Weiyang Liu
Robert Bamler
Damon J. Wischik
OODD
44
4
0
07 Apr 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real
  World
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World
Bowen Lei
Dongkuan Xu
Ruqi Zhang
Bani Mallick
UQCV
29
0
0
29 Mar 2024
Kernel PCA for Out-of-Distribution Detection
Kernel PCA for Out-of-Distribution Detection
Kun Fang
Qinghua Tao
Kexin Lv
M. He
Xiaolin Huang
Jie-jin Yang
OODD
39
2
0
05 Feb 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
HAROOD: Human Activity Classification and Out-of-Distribution Detection
  with Short-Range FMCW Radar
HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radar
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard G. Steinbach
22
4
0
14 Dec 2023
Managing the unknown: a survey on Open Set Recognition and tangential
  areas
Managing the unknown: a survey on Open Set Recognition and tangential areas
Marcos Barcina-Blanco
J. Lobo
Pablo Garcia-Bringas
Javier Del Ser
VLM
16
2
0
14 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Chong Wang
Yuanhong Chen
Fengbei Liu
Yuyuan Liu
Davis J. McCarthy
Helen Frazer
Gustavo Carneiro
16
1
0
30 Nov 2023
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
A Baseline Analysis of Reward Models' Ability To Accurately Analyze
  Foundation Models Under Distribution Shift
A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift
Will LeVine
Benjamin Pikus
Tony Chen
Sean Hendryx
16
8
0
21 Nov 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via
  Informative Extrapolation
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
Jianing Zhu
Geng Yu
Jiangchao Yao
Tongliang Liu
Gang Niu
Masashi Sugiyama
Bo Han
OODD
19
30
0
21 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
Zhihao Ding
Jieming Shi
Shiqi Shen
Xuequn Shang
Jiannong Cao
Zhipeng Wang
Zhi Gong
OODD
OOD
27
4
0
16 Oct 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection
  in Medical Tabular Data
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data
Mohammad Azizmalayeri
Ameen Abu-Hanna
Dirk Kraft
OOD
16
5
0
28 Sep 2023
Environment-biased Feature Ranking for Novelty Detection Robustness
Stefan Smeu
Elena Burceanu
Emanuela Haller
Andrei Liviu Nicolicioiu
OOD
29
0
0
21 Sep 2023
Are Existing Out-Of-Distribution Techniques Suitable for Network
  Intrusion Detection?
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection?
Andrea Corsini
S. Yang
OODD
AAML
6
7
0
28 Aug 2023
SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised
  Contrastive Learning and Euclidean Distance
SupEuclid: Extremely Simple, High Quality OoD Detection with Supervised Contrastive Learning and Euclidean Distance
J. Haas
OODD
10
0
0
21 Aug 2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and
  Humans in Visual Perception
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception
Jiyoung Lee
Seung Wook Kim
Seunghyun Won
Joonseok Lee
Marzyeh Ghassemi
James Thorne
Jaeseok Choi
O.-Kil Kwon
E. Choi
13
1
0
03 Aug 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
28
3
0
24 Jul 2023
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly
  Detection
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection
Yujin Lee
Harin Lim
Seoyoon Jang
H. Yoon
19
4
0
24 Jul 2023
12
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