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Unknown-Aware Object Detection: Learning What You Don't Know from Videos
  in the Wild

Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild

8 March 2022
Xuefeng Du
Xin Eric Wang
Gabriel Gozum
Yixuan Li
    OODD
ArXivPDFHTML

Papers citing "Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild"

50 / 64 papers shown
Title
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 Representations
Bin Zhang
Jinggang Chen
Xiaoyang Qu
Guokuan Li
Kai Lu
Jiguang Wan
Jing Xiao
Jianzong Wang
ObjD
41
0
0
28 Mar 2025
Secure On-Device Video OOD Detection Without Backpropagation
Secure On-Device Video OOD Detection Without Backpropagation
Li Li
Peilin Cai
Yuxiao Zhou
Zhiyu Ni
Renjie Liang
You Qin
Yi Nian
Z. Tu
Xiyang Hu
Yue Zhao
OODD
FedML
58
2
0
08 Mar 2025
Out-of-Distribution Detection using Synthetic Data Generation
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
38
1
0
05 Feb 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
59
0
0
20 Jan 2025
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data
Aitor Martinez-Seras
Javier Del Ser
Alain Andres
Pablo García Bringas
Pablo Garcia-Bringas
OODD
40
0
0
07 Nov 2024
Ño' Matters: Out-of-Distribution Detection in Multimodality Long
  Dialogue
Ño' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue
Rena Gao
Xuetong Wu
Siwen Luo
Caren Han
Feng Liu
OODD
39
0
0
31 Oct 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with
  Vision-Language Models
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models
Yabin Zhang
L. Zhang
VLM
OODD
23
2
0
26 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
43
13
0
15 Oct 2024
A Systematic Review of Edge Case Detection in Automated Driving:
  Methods, Challenges and Future Directions
A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions
Saeed Rahmani
Sabine Rieder
Erwin de Gelder
Marcel Sonntag
Jorge Lorente Mallada
Sytze Kalisvaart
Vahid Hashemi
Simeon C. Calvert
29
0
0
11 Oct 2024
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data
Xuefeng Du
Reshmi Ghosh
Robert Sim
Ahmed Salem
Vitor Carvalho
Emily Lawton
Yixuan Li
Jack W. Stokes
VLM
AAML
32
5
0
01 Oct 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
31
2
0
08 Sep 2024
Resilience and Security of Deep Neural Networks Against Intentional and
  Unintentional Perturbations: Survey and Research Challenges
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges
Sazzad Sayyed
Milin Zhang
Shahriar Rifat
A. Swami
Michael De Lucia
Francesco Restuccia
21
1
0
31 Jul 2024
Generalized Out-of-Distribution Detection and Beyond in Vision Language
  Model Era: A Survey
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
Atsuyuki Miyai
Jingkang Yang
Jingyang Zhang
Yifei Ming
Sisir Dhakal
...
Yixuan Li
Hai Li
Ziwei Liu
Toshihiko Yamasaki
Kiyoharu Aizawa
31
9
0
31 Jul 2024
Towards Open-World Object-based Anomaly Detection via Self-Supervised
  Outlier Synthesis
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis
Brian K. S. Isaac-Medina
Yona Falinie A. Gaus
Neelanjan Bhowmik
T. Breckon
21
2
0
22 Jul 2024
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with
  Vision-Language Models
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
Yabin Zhang
Wenjie Zhu
Chenhang He
Lei Zhang
VLM
36
2
0
12 Jul 2024
When and How Does In-Distribution Label Help Out-of-Distribution
  Detection?
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
Xuefeng Du
Yiyou Sun
Yixuan Li
20
6
0
28 May 2024
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous
  Driving
AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving
Daniel Bogdoll
Iramm Hamdard
Lukas Namgyu Rößler
Felix Geisler
Muhammed Bayram
...
Miguel de Campos
Anushervon Tabarov
Yitian Yang
Hanno Gottschalk
J. Marius Zöllner
26
5
0
13 May 2024
OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection
  and Discovery
OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery
Matthew J. Inkawhich
Nathan Inkawhich
Hao Yang
Jingyang Zhang
Randolph Linderman
Yiran Chen
ObjD
30
0
0
16 Apr 2024
Negative Label Guided OOD Detection with Pretrained Vision-Language
  Models
Negative Label Guided OOD Detection with Pretrained Vision-Language Models
Xue Jiang
Feng Liu
Zhengfeng Fang
Hong Chen
Tongliang Liu
Feng Zheng
Bo Han
VLM
42
28
0
29 Mar 2024
RoDLA: Benchmarking the Robustness of Document Layout Analysis Models
RoDLA: Benchmarking the Robustness of Document Layout Analysis Models
Yufan Chen
Jiaming Zhang
Kunyu Peng
Junwei Zheng
Ruiping Liu
Philip H. S. Torr
Rainer Stiefelhagen
OOD
21
5
0
21 Mar 2024
Run-time Introspection of 2D Object Detection in Automated Driving
  Systems Using Learning Representations
Run-time Introspection of 2D Object Detection in Automated Driving Systems Using Learning Representations
Hakan Yekta Yatbaz
M. Dianati
K. Koufos
Roger Woodman
25
3
0
02 Mar 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
Xuefeng Du
Zhen Fang
Ilias Diakonikolas
Yixuan Li
OODD
31
26
0
05 Feb 2024
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
Chao Chen
Zhihang Fu
Kai-Chun Liu
Ze Chen
Mingyuan Tao
Jieping Ye
OODD
18
3
0
04 Feb 2024
ARGS: Alignment as Reward-Guided Search
ARGS: Alignment as Reward-Guided Search
Maxim Khanov
Jirayu Burapacheep
Yixuan Li
26
43
0
23 Jan 2024
UFO: Unidentified Foreground Object Detection in 3D Point Cloud
UFO: Unidentified Foreground Object Detection in 3D Point Cloud
Hyunjun Choi
Hawook Jeong
Jin Young Choi
3DPC
10
1
0
08 Jan 2024
How to Overcome Curse-of-Dimensionality for Out-of-Distribution
  Detection?
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
Soumya Suvra Ghosal
Yiyou Sun
Yixuan Li
OODD
14
10
0
22 Dec 2023
Model-free Test Time Adaptation for Out-Of-Distribution Detection
Model-free Test Time Adaptation for Out-Of-Distribution Detection
Yi-Fan Zhang
Xue Wang
Tian Zhou
Kun Yuan
Zhang Zhang
Liang Wang
Rong Jin
Tien-Ping Tan
TTA
OODD
24
4
0
28 Nov 2023
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for
  Out-of-distribution Detection
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection
Yue Song
N. Sebe
Wei Wang
OODD
8
1
0
23 Nov 2023
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in
  Robot Learning
Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning
Jianxiang Feng
Jongseok Lee
Simon Geisler
Stephan Gunnemann
Rudolph Triebel
OODD
11
4
0
11 Nov 2023
Low-Dimensional Gradient Helps Out-of-Distribution Detection
Low-Dimensional Gradient Helps Out-of-Distribution Detection
Yingwen Wu
Tao Li
Xinwen Cheng
Jie-jin Yang
Xiaolin Huang
OODD
41
3
0
26 Oct 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?
Atsuyuki Miyai
Qing Yu
Go Irie
Kiyoharu Aizawa
OODD
129
6
0
02 Oct 2023
Dream the Impossible: Outlier Imagination with Diffusion Models
Dream the Impossible: Outlier Imagination with Diffusion Models
Xuefeng Du
Yiyou Sun
Xiaojin Zhu
Yixuan Li
11
52
0
23 Sep 2023
LMC: Large Model Collaboration with Cross-assessment for Training-Free
  Open-Set Object Recognition
LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition
Haoxuan Qu
Xiaofei Hui
Yujun Cai
Jun Liu
31
10
0
22 Sep 2023
On the use of Mahalanobis distance for out-of-distribution detection
  with neural networks for medical imaging
On the use of Mahalanobis distance for out-of-distribution detection with neural networks for medical imaging
Harry Anthony
Konstantinos Kamnitsas
14
9
0
04 Sep 2023
Out-of-Distribution Detection for Monocular Depth Estimation
Out-of-Distribution Detection for Monocular Depth Estimation
Julia Hornauer
Adrian Holzbock
Vasileios Belagiannis
UQCV
17
4
0
11 Aug 2023
Exploring the Potential of World Models for Anomaly Detection in
  Autonomous Driving
Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving
Daniel Bogdoll
Lukas Bosch
Tim Joseph
Helen Gremmelmaier
Yitian Yang
J. Marius Zöllner
11
4
0
10 Aug 2023
General-Purpose Multi-Modal OOD Detection Framework
General-Purpose Multi-Modal OOD Detection Framework
Viet Duong
Qiong Wu
Zhengyi Zhou
Eric Zavesky
Jiahe Chen
Xiangzhou Liu
Wen-Ling Hsu
Huajie Shao
OODD
28
0
0
24 Jul 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
11
64
0
02 Jun 2023
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
Hao Lang
Yinhe Zheng
Binyuan Hui
Fei Huang
Yongbin Li
11
4
0
05 May 2023
A Survey on Out-of-Distribution Detection in NLP
A Survey on Out-of-Distribution Detection in NLP
Hao Lang
Yinhe Zheng
Yixuan Li
Jian Sun
Feiling Huang
Yongbin Li
13
19
0
05 May 2023
Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown
  Objects
Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects
Wenteng Liang
Feng Xue
Yihao Liu
Guofeng Zhong
Anlong Ming
64
21
0
24 Mar 2023
Non-Parametric Outlier Synthesis
Non-Parametric Outlier Synthesis
Leitian Tao
Xuefeng Du
Xiaojin Zhu
Yixuan Li
OODD
17
97
0
06 Mar 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
31
13
0
01 Feb 2023
Runtime Monitoring for Out-of-Distribution Detection in Object Detection
  Neural Networks
Runtime Monitoring for Out-of-Distribution Detection in Object Detection Neural Networks
V. Hashemi
Jan Křetínský
Sabine Rieder
J. Schmidt
OODD
9
5
0
15 Dec 2022
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few
  Normal Samples
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples
Jianjian Qin
Chunzhi Gu
Junzhou Yu
Chaoxi Zhang
3DPC
11
12
0
31 Oct 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
Jingkang Yang
Pengyun Wang
Dejian Zou
Zitang Zhou
Kun Ding
...
Kaiyang Zhou
Wayne Zhang
Dan Hendrycks
Yixuan Li
Ziwei Liu
OODD
12
155
0
13 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Chen Liang
Wenguan Wang
Jiaxu Miao
Yi Yang
VLM
28
116
0
05 Oct 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object
  Detection
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection
Samuel Wilson
Tobias Fischer
Feras Dayoub
Dimity Miller
Niko Sünderhauf
OODD
13
29
0
29 Aug 2022
Instance-Aware Observer Network for Out-of-Distribution Object
  Segmentation
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
31
1
0
18 Jul 2022
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