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Towards Open Set Deep Networks

Towards Open Set Deep Networks

19 November 2015
Abhijit Bendale
Terrance Boult
    BDL
    EDL
ArXivPDFHTML

Papers citing "Towards Open Set Deep Networks"

50 / 269 papers shown
Title
Mitigating Neural Network Overconfidence with Logit Normalization
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei
Renchunzi Xie
Hao-Ran Cheng
Lei Feng
Bo An
Yixuan Li
OODD
163
268
0
19 May 2022
Evaluating Uncertainty Calibration for Open-Set Recognition
Evaluating Uncertainty Calibration for Open-Set Recognition
Zongyao Lyu
Nolan B. Gutierrez
William J. Beksi
UQCV
35
1
0
15 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via
  Distance-Awareness
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
J. Liu
Shreyas Padhy
Jie Jessie Ren
Zi Lin
Yeming Wen
Ghassen Jerfel
Zachary Nado
Jasper Snoek
Dustin Tran
Balaji Lakshminarayanan
UQCV
BDL
26
48
0
01 May 2022
Learning to Classify Open Intent via Soft Labeling and Manifold Mixup
Learning to Classify Open Intent via Soft Labeling and Manifold Mixup
Zifeng Cheng
Zhiwei Jiang
Yafeng Yin
Cong Wang
Qing Gu
VLM
24
13
0
16 Apr 2022
Expanding Low-Density Latent Regions for Open-Set Object Detection
Expanding Low-Density Latent Regions for Open-Set Object Detection
Jiaming Han
Yuqiang Ren
Jian Ding
Xingjia Pan
Ke Yan
Guisong Xia
ObjD
40
59
0
28 Mar 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
26
112
0
28 Mar 2022
Incremental Few-Shot Learning via Implanting and Compressing
Incremental Few-Shot Learning via Implanting and Compressing
Yiting Li
H. Zhu
Xijia Feng
Zilong Cheng
Jun Ma
Cheng Xiang
P. Vadakkepat
T. Lee
CLL
VLM
27
2
0
19 Mar 2022
Contrastive Learning for Cross-Domain Open World Recognition
Contrastive Learning for Cross-Domain Open World Recognition
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
SSL
37
3
0
17 Mar 2022
PMAL: Open Set Recognition via Robust Prototype Mining
PMAL: Open Set Recognition via Robust Prototype Mining
Jing Lu
Yunxu Xu
Hao Li
Zhanzhan Cheng
Yi Niu
29
53
0
16 Mar 2022
OpenTAL: Towards Open Set Temporal Action Localization
OpenTAL: Towards Open Set Temporal Action Localization
Wentao Bao
Qi Yu
Yu Kong
EDL
37
26
0
10 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
26
96
0
08 Mar 2022
Conditional Reconstruction for Open-set Semantic Segmentation
Conditional Reconstruction for Open-set Semantic Segmentation
Ian Nunes
M. B. Pereira
Hugo Oliveira
J. A. dos Santos
Marcus Poggi de Aragão
ISeg
VLM
23
7
0
02 Mar 2022
Addressing Randomness in Evaluation Protocols for Out-of-Distribution
  Detection
Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection
Konstantin Kirchheim
Tim Gonschorek
F. Ortmeier
OODD
36
2
0
01 Mar 2022
Cyclical Focal Loss
Cyclical Focal Loss
L. Smith
35
14
0
16 Feb 2022
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning
Rui Shao
Pramuditha Perera
Pong C. Yuen
Vishal M. Patel
AAML
28
32
0
12 Feb 2022
White-Box Attacks on Hate-speech BERT Classifiers in German with
  Explicit and Implicit Character Level Defense
White-Box Attacks on Hate-speech BERT Classifiers in German with Explicit and Implicit Character Level Defense
Shahrukh Khan
Mahnoor Shahid
Navdeeppal Singh
AAML
39
3
0
11 Feb 2022
Active Learning for Open-set Annotation
Active Learning for Open-set Annotation
Kun-Peng Ning
Xun Zhao
Yu Li
Sheng-Jun Huang
22
35
0
18 Jan 2022
Open-Set Recognition of Breast Cancer Treatments
Open-Set Recognition of Breast Cancer Treatments
Alexander Cao
Diego Klabjan
Yuan Luo
BDL
OOD
32
1
0
09 Jan 2022
Generalized Category Discovery
Generalized Category Discovery
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
40
188
0
07 Jan 2022
Extending One-Stage Detection with Open-World Proposals
Extending One-Stage Detection with Open-World Proposals
Sachin Konan
Kevin J Liang
Li Yin
ObjD
26
10
0
07 Jan 2022
UMAD: Universal Model Adaptation under Domain and Category Shift
UMAD: Universal Model Adaptation under Domain and Category Shift
Jian Liang
Dapeng Hu
Jiashi Feng
Ran He
36
30
0
16 Dec 2021
Learning to Detect Every Thing in an Open World
Learning to Detect Every Thing in an Open World
Kuniaki Saito
Ping Hu
Trevor Darrell
Kate Saenko
ObjD
VLM
19
45
0
03 Dec 2021
Uncertainty Aware Proposal Segmentation for Unknown Object Detection
Uncertainty Aware Proposal Segmentation for Unknown Object Detection
Yimeng Li
Jana Kosecka
UQCV
36
19
0
25 Nov 2021
ReAct: Out-of-distribution Detection With Rectified Activations
ReAct: Out-of-distribution Detection With Rectified Activations
Yiyou Sun
Chuan Guo
Yixuan Li
OODD
43
457
0
24 Nov 2021
DICE: Leveraging Sparsification for Out-of-Distribution Detection
DICE: Leveraging Sparsification for Out-of-Distribution Detection
Yiyou Sun
Yixuan Li
OODD
38
152
0
18 Nov 2021
Synthetic Unknown Class Learning for Learning Unknowns
Synthetic Unknown Class Learning for Learning Unknowns
Jaeyeon Jang
25
2
0
15 Nov 2021
Automatic Hand Sign Recognition: Identify Unusuality through Latent
  Cognizance
Automatic Hand Sign Recognition: Identify Unusuality through Latent Cognizance
Pisit Nakjai
Tatpong Katanyukul
20
7
0
29 Oct 2021
Seeing biodiversity: perspectives in machine learning for wildlife
  conservation
Seeing biodiversity: perspectives in machine learning for wildlife conservation
D. Tuia
B. Kellenberger
Sara Beery
Blair R. Costelloe
Silvia Zuffi
...
I. Couzin
Grant Van Horn
M. Crofoot
Chuck Stewart
T. Berger-Wolf
33
392
0
25 Oct 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
193
881
0
21 Oct 2021
Spatial Location Constraint Prototype Loss for Open Set Recognition
Spatial Location Constraint Prototype Loss for Open Set Recognition
Ziheng Xia
Ganggang Dong
Penghui Wang
Hongwei Liu
UQCV
BDL
32
18
0
21 Oct 2021
Squeezing Backbone Feature Distributions to the Max for Efficient
  Few-Shot Learning
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning
Yuqing Hu
Vincent Gripon
S. Pateux
47
37
0
18 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
BDL
169
411
0
12 Oct 2021
Zero-bias Deep Neural Network for Quickest RF Signal Surveillance
Zero-bias Deep Neural Network for Quickest RF Signal Surveillance
Yongxin Liu
Yingjie Chen
Jian Wang
Shuteng Niu
Dahai Liu
Haoze Song
36
8
0
12 Oct 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning
  Approach
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
Qitian Wu
Chenxiao Yang
Junchi Yan
27
32
0
09 Oct 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised
  Domain Adaptation without Source Data
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
153
212
0
07 Oct 2021
Objects in Semantic Topology
Objects in Semantic Topology
Shuo Yang
Pei Sun
Yi-Xin Jiang
Xiaobo Xia
Ruiheng Zhang
Zehuan Yuan
Changhu Wang
Ping Luo
Min Xu
ObjD
89
29
0
06 Oct 2021
A novel network training approach for open set image recognition
A novel network training approach for open set image recognition
Md Tahmid Hossaina
S. Teng
Guojun Lu
Ferdous Sohel
26
0
0
27 Sep 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set
  Classification
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification
Jedrzej Kozerawski
M. Turk
VLM
MQ
27
5
0
14 Sep 2021
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent
  Recognition
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition
Hanlei Zhang
Xiaoteng Li
Hua Xu
Panpan Zhang
Kang Zhao
Kai Gao
34
35
0
13 Sep 2021
Open Set RF Fingerprinting using Generative Outlier Augmentation
Open Set RF Fingerprinting using Generative Outlier Augmentation
Samurdhi Karunaratne
Samer S. Hanna
D. Cabric
18
9
0
30 Aug 2021
NGC: A Unified Framework for Learning with Open-World Noisy Data
NGC: A Unified Framework for Learning with Open-World Noisy Data
Zhi-Fan Wu
Tong Wei
Jianwen Jiang
Chaojie Mao
Mingqian Tang
Yu-Feng Li
11
81
0
25 Aug 2021
A Survey on Open Set Recognition
A Survey on Open Set Recognition
Atefeh Mahdavi
Marco M. Carvalho
BDL
29
35
0
18 Aug 2021
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue
Keke Tang
Dingruibo Miao
Weilong Peng
Jianpeng Wu
Yawen Shi
Zhaoquan Gu
Zhihong Tian
Wenping Wang
OODD
148
30
0
13 Aug 2021
Relation-aware Compositional Zero-shot Learning for Attribute-Object
  Pair Recognition
Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition
Ziwei Xu
Guangzhi Wang
Yongkang Wong
Mohan S. Kankanhalli
54
26
0
10 Aug 2021
M2IOSR: Maximal Mutual Information Open Set Recognition
M2IOSR: Maximal Mutual Information Open Set Recognition
Xin Sun
Henghui Ding
Chi Zhang
Guosheng Lin
K. Ling
23
17
0
05 Aug 2021
Bayesian Embeddings for Few-Shot Open World Recognition
Bayesian Embeddings for Few-Shot Open World Recognition
John Willes
James Harrison
Ali Harakeh
Chelsea Finn
Marco Pavone
Steven Waslander
BDL
OffRL
27
18
0
29 Jul 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
Yezhen Wang
Bo-wen Li
Tong Che
Kaiyang Zhou
Ziwei Liu
Dongsheng Li
UQCV
22
47
0
27 Jul 2021
Evidential Deep Learning for Open Set Action Recognition
Evidential Deep Learning for Open Set Action Recognition
Wentao Bao
Qi Yu
Yu Kong
CML
EDL
21
135
0
21 Jul 2021
Learning Bounds for Open-Set Learning
Learning Bounds for Open-Set Learning
Zhen Fang
Jie Lu
Anjin Liu
Feng Liu
Guangquan Zhang
23
61
0
30 Jun 2021
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set
  Unlabeled Data
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data
Jongjin Park
Sukmin Yun
Jongheon Jeong
Jinwoo Shin
31
29
0
29 Jun 2021
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