ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.11297
  4. Cited By
Generalized ODIN: Detecting Out-of-distribution Image without Learning
  from Out-of-distribution Data
v1v2 (latest)

Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data

Computer Vision and Pattern Recognition (CVPR), 2020
26 February 2020
Yen-Chang Hsu
Yilin Shen
Hongxia Jin
Z. Kira
    OODD
ArXiv (abs)PDFHTML

Papers citing "Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data"

50 / 390 papers shown
RankOOD - Class Ranking-based Out-of-Distribution Detection
RankOOD - Class Ranking-based Out-of-Distribution Detection
Dishanika Denipitiyage
Naveen Karunanayake
Suranga Seneviratne
Sanjay Chawla
OODD
235
0
0
25 Nov 2025
SG-OIF: A Stability-Guided Online Influence Framework for Reliable Vision Data
SG-OIF: A Stability-Guided Online Influence Framework for Reliable Vision Data
Penghao Rao
Runmin Jiang
Min Xu
142
0
0
21 Nov 2025
BootOOD: Self-Supervised Out-of-Distribution Detection via Synthetic Sample Exposure under Neural Collapse
BootOOD: Self-Supervised Out-of-Distribution Detection via Synthetic Sample Exposure under Neural Collapse
Yuanchao Wang
Tian Qin
Eduardo Valle
Bruno Abrahao
OODD
359
0
0
17 Nov 2025
Out-of-Distribution Detection for Safety Assurance of AI and Autonomous Systems
Out-of-Distribution Detection for Safety Assurance of AI and Autonomous Systems
Victoria Hodge
Colin Paterson
Ibrahim Habli
153
1
0
24 Oct 2025
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
Jiachen Liang
Ruibing Hou
Minyang Hu
Hong Chang
Shiguang Shan
Xilin Chen
OODD
351
1
0
23 Oct 2025
Beyond Binary Out-of-Distribution Detection: Characterizing Distributional Shifts with Multi-Statistic Diffusion Trajectories
Beyond Binary Out-of-Distribution Detection: Characterizing Distributional Shifts with Multi-Statistic Diffusion Trajectories
Achref Jaziri
Martin Rogmann
Martin Mundt
Visvanathan Ramesh
256
0
0
20 Oct 2025
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
Xin Gao
Jiyao Liu
Guanghao Li
Yueming Lyu
Jianxiong Gao
...
Ningsheng Xu
Liang Wang
Caifeng Shan
Ziwei Liu
Chenyang Si
322
1
0
20 Oct 2025
Local Background Features Matter in Out-of-Distribution Detection
Local Background Features Matter in Out-of-Distribution Detection
Jinlun Ye
Zhuohao Sun
Yiqiao Qiu
Qiu Li
Zhijun Tan
Ruixuan Wang
OODD
283
0
0
14 Oct 2025
Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection
Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection
Shizhen Zhao
Jiahui Liu
Xin Wen
Haoru Tan
Xiaojuan Qi
OODDVLM
288
2
0
12 Oct 2025
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
Cong Zeng
Shengkun Tang
Yuanzhou Chen
Zhiqiang Shen
Wenchao Yu
Xujiang Zhao
H. Chen
Wei Cheng
zhiqiang xu
DeLMOOODD
283
1
0
07 Oct 2025
Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
Shuai Feng
Yuxin Ge
Yuntao Du
Mingcai Chen
Chongjun Wang
Lei Feng
OODD
506
0
0
21 Sep 2025
Dynamic Aware: Adaptive Multi-Mode Out-of-Distribution Detection for Trajectory Prediction in Autonomous Vehicles
Dynamic Aware: Adaptive Multi-Mode Out-of-Distribution Detection for Trajectory Prediction in Autonomous Vehicles
Tongfei Guo
Lili Su
170
1
0
16 Sep 2025
Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins
Out of Distribution Detection in Self-adaptive Robots with AI-powered Digital Twins
Erblin Isaku
C. Gomes
Shaukat Ali
Beatriz Sanguino
Tongtong Wang
Guoyuan Li
Houxiang Zhang
Thomas Peyrucain
255
3
0
16 Sep 2025
An Empirical Analysis of VLM-based OOD Detection: Mechanisms, Advantages, and Sensitivity
An Empirical Analysis of VLM-based OOD Detection: Mechanisms, Advantages, and Sensitivity
YuXiao Lee
Xiaofeng Cao
Wei Ye
Jiangchao Yao
Jingkuan Song
Heng Tao Shen
MLLM
268
0
0
16 Sep 2025
ANTS: Adaptive Negative Textual Space Shaping for OOD Detection via Test-Time MLLM Understanding and Reasoning
ANTS: Adaptive Negative Textual Space Shaping for OOD Detection via Test-Time MLLM Understanding and Reasoning
Wenjie Zhu
Yabin Zhang
Jianfeng Dong
Wenjun Zeng
Lei Zhang
447
0
0
04 Sep 2025
What Can We Learn from Harry Potter? An Exploratory Study of Visual Representation Learning from Atypical Videos
What Can We Learn from Harry Potter? An Exploratory Study of Visual Representation Learning from Atypical Videos
Qiyue Sun
Qiming Huang
Yang Yang
Hongjun Wang
Jianbo Jiao
261
0
0
29 Aug 2025
Sharpness-Aware Geometric Defense for Robust Out-Of-Distribution Detection
Sharpness-Aware Geometric Defense for Robust Out-Of-Distribution Detection
Jeng-Lin Li
Ming-Ching Chang
Wei-Chao Chen
175
0
0
24 Aug 2025
SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
Ismail Lamaakal
Chaymae Yahyati
Khalid El Makkaoui
Ibrahim Ouahbi
Yassine Maleh
UQCVMQ
235
2
0
18 Aug 2025
OpenHAIV: A Framework Towards Practical Open-World Learning
OpenHAIV: A Framework Towards Practical Open-World Learning
Xiang Xiang
Yuwen Tan
Zhuo Xu
Jing Ma
Jiaxin Dai
Yifan Liang
Hanlin Li
CLLVLM
189
0
0
10 Aug 2025
A Simple and Effective Method for Uncertainty Quantification and OOD Detection
A Simple and Effective Method for Uncertainty Quantification and OOD Detection
Yaxin Ma
Benjamin Colburn
José C. Príncipe
UQCVBDL
255
0
0
01 Aug 2025
BOOD: Boundary-based Out-Of-Distribution Data Generation
BOOD: Boundary-based Out-Of-Distribution Data GenerationInternational Conference on Machine Learning (ICML), 2025
Qilin Liao
Shuo Yang
Bo Zhao
Ping Luo
Hengshuang Zhao
304
3
0
01 Aug 2025
COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition
COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition
Ryan Rabinowitz
Steve Cruz
Walter J. Scheirer
Terrance Boult
BDL
187
0
0
01 Aug 2025
Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
Out-of-Distribution Detection in Medical Imaging via Diffusion Trajectories
Lemar Abdi
Francisco Caetano
Amaan Valiuddin
Christiaan Viviers
Hamdi Joudeh
Fons van der Sommen
MedIm
183
0
0
31 Jul 2025
Handling Out-of-Distribution Data: A Survey
Handling Out-of-Distribution Data: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
L. Tamang
Mohamed Reda Bouadjenek
Richard Dazeley
S. Aryal
OODOODD
357
10
0
25 Jul 2025
Label tree semantic losses for rich multi-class medical image segmentation
Label tree semantic losses for rich multi-class medical image segmentation
Junwen Wang
O. MacCormac
William Rochford
Aaron Kujawa
J. Shapey
Tom Vercauteren
236
0
0
21 Jul 2025
Feature Bank Enhancement for Distance-based Out-of-Distribution Detection
Feature Bank Enhancement for Distance-based Out-of-Distribution Detection
Yuhang Liu
Yuefei Wu
Bin Shi
Bo Dong
OODD
228
0
0
11 Jul 2025
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection
Xinhua Lu
Runhe Lai
Yanqi Wu
Kanghao Chen
Wei-Shi Zheng
Ruixuan Wang
OODDVPVLMVLM
403
1
0
06 Jul 2025
Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors
Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors
Tejaswi Kasarla
Max van Spengler
Pascal Mettes
OODD
321
2
0
11 Jun 2025
TRUST: Test-time Resource Utilization for Superior Trustworthiness
TRUST: Test-time Resource Utilization for Superior Trustworthiness
Haripriya Harikumar
Santu Rana
244
0
0
06 Jun 2025
Enhancing Abnormality Identification: Robust Out-of-Distribution Strategies for Deepfake Detection
Enhancing Abnormality Identification: Robust Out-of-Distribution Strategies for Deepfake Detection
Luca Maiano
Fabrizio Casadei
Irene Amerini
239
0
0
03 Jun 2025
Anomaly Detection Based on Critical Paths for Deep Neural Networks
Anomaly Detection Based on Critical Paths for Deep Neural Networks
Fangzhen Zhao
Chenyi Zhang
Naipeng Dong
Ming Li
Jinxiao Shan
AAML
252
0
0
20 May 2025
Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection
Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection
Brian K. S. Isaac-Medina
T. Breckon
OODD
1.0K
1
0
25 Apr 2025
Enhancing Out-of-Distribution Detection with Extended Logit Normalization
Enhancing Out-of-Distribution Detection with Extended Logit Normalization
Yifan Ding
Xixi Liu
Jonas Unger
Gabriel Eilertsen
OODD
443
3
0
15 Apr 2025
Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery
Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery
Alireza Fathalizadeh
Roozbeh Razavi-Far
CLL
267
0
0
11 Apr 2025
EOOD: Entropy-based Out-of-distribution Detection
EOOD: Entropy-based Out-of-distribution Detection
Guide Yang
Chao Hou
Weilong Peng
Xiang Fang
Yongwei Nie
Peican Zhu
Keke Tang
OODD
521
2
0
04 Apr 2025
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal RepresentationsAAAI Conference on Artificial Intelligence (AAAI), 2025
Bin Zhang
Jinggang Chen
Xiaoyang Qu
Guokuan Li
Kai Lu
Jiguang Wan
Jing Xiao
Jianzong Wang
ObjD
270
3
0
28 Mar 2025
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD DetectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Bin Zhang
Xiaoyang Qu
Guokuan Li
Jiguang Wan
Jianzong Wang
VLM
318
1
0
28 Mar 2025
Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition
Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition
Lubnaa Abdur Rahman
Ioannis Papathanail
Lorenzo Brigato
Stavroula Mougiakakou
263
0
0
24 Mar 2025
Continual Contrastive Learning on Tabular Data with Out of Distribution
Continual Contrastive Learning on Tabular Data with Out of Distribution
Achmad Ginanjar
Xue Li
Priyanka Singh
Wen Hua
LMTD
340
1
0
19 Mar 2025
AdaSCALE: Adaptive Scaling for OOD Detection
AdaSCALE: Adaptive Scaling for OOD Detection
Sudarshan Regmi
OODD
608
6
0
11 Mar 2025
Joint Out-of-Distribution Filtering and Data Discovery Active Learning
Joint Out-of-Distribution Filtering and Data Discovery Active LearningComputer Vision and Pattern Recognition (CVPR), 2025
Sebastian Schmidt
Leonard Schenk
Leo Schwinn
Stephan Günnemann
454
9
0
04 Mar 2025
Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring
Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring
Yuyan Chen
Nico Lang
B. Christian Schmidt
Aditya Jain
Yves Basset
Sara Beery
Maxim Larrivée
David Rolnick
539
1
0
03 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice
Eric Heim
Oren Wright
David Shriver
OODFaML
467
0
0
01 Mar 2025
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing
Xiang Xiang
Zhuo Xu
Yao Deng
Yuwen Tan
Yifan Liang
Ke Chen
Qingfang Zheng
Yaowei Wang
Xilin Chen
Wen Gao
VLM
512
3
0
28 Feb 2025
Leveraging Intermediate Representations for Better Out-of-Distribution Detection
Leveraging Intermediate Representations for Better Out-of-Distribution Detection
Gianluca Guglielmo
Marc Masana
OODD
299
2
0
18 Feb 2025
Representation Learning on Out of Distribution in Tabular Data
Representation Learning on Out of Distribution in Tabular Data
Achmad Ginanjar
Xue Li
Priyanka Singh
Wen Hua
LMTD
1.0K
1
0
14 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent GenerationInternational Conference on Learning Representations (ICLR), 2025
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
1.0K
16
0
09 Feb 2025
SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models
SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models
Shu Zou
Xinyu Tian
Qinyu Zhao
Zhaoyuan Yang
Jing Zhang
VLM
279
7
0
20 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 ApproachInternational Conference on Learning Representations (ICLR), 2025
Nicolas Atienza
Christophe Labreuche
Johanne Cohen
Michele Sebag
OODDAAML
937
1
0
20 Jan 2025
Concept Matching with Agent for Out-of-Distribution Detection
Concept Matching with Agent for Out-of-Distribution Detection
YuXiao Lee
Xiaofeng Cao
Jingcai Guo
Wei Ye
Qing Guo
Yi Chang
375
0
0
08 Jan 2025
12345678
Next
Page 1 of 8