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Towards Open World Recognition

Towards Open World Recognition

18 December 2014
Abhijit Bendale
Terrance Boult
ArXivPDFHTML

Papers citing "Towards Open World Recognition"

50 / 299 papers shown
Title
Model Evaluation for Domain Identification of Unknown Classes in
  Open-World Recognition: A Proposal
Model Evaluation for Domain Identification of Unknown Classes in Open-World Recognition: A Proposal
Gusti Ahmad Fanshuri Alfarisy
O. A. Malik
Ong Wee Hong
16
0
0
09 Dec 2023
Low-shot Object Learning with Mutual Exclusivity Bias
Low-shot Object Learning with Mutual Exclusivity Bias
Anh Thai
Ahmad Humayun
Stefan Stojanov
Zixuan Huang
Bikram Boote
James M. Rehg
40
2
0
06 Dec 2023
Object Recognition as Next Token Prediction
Object Recognition as Next Token Prediction
Kaiyu Yue
Borchun Chen
Jonas Geiping
Hengduo Li
Tom Goldstein
Ser-Nam Lim
45
9
0
04 Dec 2023
Continual Learning: Applications and the Road Forward
Continual Learning: Applications and the Road Forward
Eli Verwimp
Rahaf Aljundi
Shai Ben-David
Matthias Bethge
Andrea Cossu
...
Joost van de Weijer
Bing Liu
Vincenzo Lomonaco
Tinne Tuytelaars
Gido M. van de Ven
CLL
48
45
0
20 Nov 2023
Open-Set Object Recognition Using Mechanical Properties During
  Interaction
Open-Set Object Recognition Using Mechanical Properties During Interaction
Pakorn Uttayopas
Xiaoxiao Cheng
Etienne Burdet
34
1
0
02 Nov 2023
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized
  Category Discovery
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery
Sarah Rastegar
Hazel Doughty
Cees G. M. Snoek
40
16
0
30 Oct 2023
Multi-label Open-set Audio Classification
Multi-label Open-set Audio Classification
Sripathi Sridhar
Mark Cartwright
VLM
40
3
0
20 Oct 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution
  Detection
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection
Yi Dai
Hao Lang
Kaisheng Zeng
Fei Huang
Yongbin Li
OODD
31
11
0
12 Oct 2023
A Metacognitive Approach to Out-of-Distribution Detection for
  Segmentation
A Metacognitive Approach to Out-of-Distribution Detection for Segmentation
Meghna Gummadi
Cassandra Kent
Karl Schmeckpeper
Eric Eaton
UQCV
37
1
0
04 Oct 2023
3D Indoor Instance Segmentation in an Open-World
3D Indoor Instance Segmentation in an Open-World
Mohamed El Amine Boudjoghra
Salwa K. Al Khatib
Jean Lahoud
Hisham Cholakkal
Rao Muhammad Anwer
Salman Khan
Fahad Khan
3DV
ISeg
11
6
0
25 Sep 2023
Meta OOD Learning for Continuously Adaptive OOD Detection
Meta OOD Learning for Continuously Adaptive OOD Detection
Xinheng Wu
Jie Lu
Zhen Fang
Guangquan Zhang
OODD
50
6
0
21 Sep 2023
Leveraging Foundation models for Unsupervised Audio-Visual Segmentation
Leveraging Foundation models for Unsupervised Audio-Visual Segmentation
Swapnil Bhosale
Haosen Yang
Diptesh Kanojia
Xiatian Zhu
VOS
47
5
0
13 Sep 2023
SOAR: Scene-debiasing Open-set Action Recognition
SOAR: Scene-debiasing Open-set Action Recognition
Yuanhao Zhai
Ziyi Liu
Zhenyu Wu
Yi Wu
Chunluan Zhou
David Doermann
Junsong Yuan
Gang Hua
24
11
0
03 Sep 2023
Reinforcement Learning Based Multi-modal Feature Fusion Network for
  Novel Class Discovery
Reinforcement Learning Based Multi-modal Feature Fusion Network for Novel Class Discovery
Qiang Li
Qiuyang Ma
Weizhi Nie
Anan Liu
OffRL
46
0
0
26 Aug 2023
LORD: Leveraging Open-Set Recognition with Unknown Data
LORD: Leveraging Open-Set Recognition with Unknown Data
Tobias Koch
Christian Riess
Thomas Köhler
31
2
0
24 Aug 2023
From Global to Local: Multi-scale Out-of-distribution Detection
From Global to Local: Multi-scale Out-of-distribution Detection
Ji Zhang
Lianli Gao
Bingguang Hao
Hao Huang
Jingkuan Song
H. Shen
OODD
36
16
0
20 Aug 2023
OpenGCD: Assisting Open World Recognition with Generalized Category
  Discovery
OpenGCD: Assisting Open World Recognition with Generalized Category Discovery
Fulin Gao
Weimin Zhong
Zhixing Cao
Xin Peng
Zhi Li
18
1
0
14 Aug 2023
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner
  for Open-World Semantic Segmentation
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation
Kaixin Cai
Pengzhen Ren
Yi Zhu
Hang Xu
Jian-zhuo Liu
Changlin Li
Guangrun Wang
Xiaodan Liang
VLM
29
14
0
09 Aug 2023
Exploring Transformers for Open-world Instance Segmentation
Exploring Transformers for Open-world Instance Segmentation
Jiannan Wu
Yi Jiang
B. Yan
Huchuan Lu
Zehuan Yuan
Ping Luo
ViT
33
5
0
08 Aug 2023
Random Boxes Are Open-world Object Detectors
Random Boxes Are Open-world Object Detectors
Yanghao Wang
Zhongqi Yue
Xiansheng Hua
Hanwang Zhang
ObjD
34
17
0
17 Jul 2023
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
Qin Zhang
Linghan Xu
Qingming Tang
Jun Fang
Yingqi Wu
Joseph Tighe
Yifan Xing
27
4
0
08 Jul 2023
Towards Open Vocabulary Learning: A Survey
Towards Open Vocabulary Learning: A Survey
Jianzong Wu
Xiangtai Li
Shilin Xu
Haobo Yuan
Henghui Ding
...
Jiangning Zhang
Yu Tong
Xudong Jiang
Guohao Li
Dacheng Tao
ObjD
VLM
47
137
0
28 Jun 2023
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic
  Distance Enhances Open World Object Detection
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection
T. Doan
Xin Li
Sima Behpour
Wenbin He
Liangke Gou
Liu Ren
36
7
0
25 Jun 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution
  Detection
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
Marc Lafon
Elias Ramzi
Clément Rambour
Nicolas Thome
OODD
40
10
0
26 May 2023
WOT-Class: Weakly Supervised Open-world Text Classification
WOT-Class: Weakly Supervised Open-world Text Classification
Tianle Wang
Zihan Wang
Weitang Liu
Jingbo Shang
VLM
38
5
0
21 May 2023
Artificial intelligence to advance Earth observation: a perspective
Artificial intelligence to advance Earth observation: a perspective
D. Tuia
Konrad Schindler
Begüm Demir
Gustau Camps-Valls
Xiao Xiang Zhu
...
Mihai Datcu
Jorge-Arnulfo Quiané-Ruiz
Volker Markl
Bertrand Le Saux
Rochelle Schneider
36
10
0
15 May 2023
SalienDet: A Saliency-based Feature Enhancement Algorithm for Object
  Detection for Autonomous Driving
SalienDet: A Saliency-based Feature Enhancement Algorithm for Object Detection for Autonomous Driving
Ning Ding
Ce Zhang
A. Eskandarian
46
10
0
11 May 2023
Egocentric Hierarchical Visual Semantics
Egocentric Hierarchical Visual Semantics
L. Erculiani
A. Bontempelli
Andrea Passerini
Fausto Giunchiglia
OCL
29
2
0
09 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
34
20
0
05 May 2023
Visual Reasoning: from State to Transformation
Visual Reasoning: from State to Transformation
Xin Hong
Yanyan Lan
Liang Pang
Jiafeng Guo
Xueqi Cheng
LRM
27
4
0
02 May 2023
Detecting Novelties with Empty Classes
Detecting Novelties with Empty Classes
Svenja Uhlemeyer
Julian Lienen
Eyke Hüllermeier
Hanno Gottschalk
29
1
0
30 Apr 2023
Incremental Generalized Category Discovery
Incremental Generalized Category Discovery
Bingchen Zhao
Oisin Mac Aodha
CLL
55
12
0
27 Apr 2023
Glocal Energy-based Learning for Few-Shot Open-Set Recognition
Glocal Energy-based Learning for Few-Shot Open-Set Recognition
Haoyu Wang
Guansong Pang
Peng Wang
Lei Zhang
Wei Wei
Yanning Zhang
27
12
0
24 Apr 2023
Open-World Continual Learning: Unifying Novelty Detection and Continual
  Learning
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Zixuan Ke
Bin Liu
CLL
OODD
37
12
0
20 Apr 2023
OVTrack: Open-Vocabulary Multiple Object Tracking
OVTrack: Open-Vocabulary Multiple Object Tracking
Siyuan Li
Tobias Fischer
Lei Ke
Henghui Ding
Martin Danelljan
Feng Yu
DiffM
34
44
0
17 Apr 2023
AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation
AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation
Giacomo Zara
Subhankar Roy
Paolo Rota
Elisa Ricci
VLM
21
13
0
03 Apr 2023
What Can Human Sketches Do for Object Detection?
What Can Human Sketches Do for Object Detection?
Pinaki Nath Chowdhury
A. Bhunia
Aneeshan Sain
Subhadeep Koley
Tao Xiang
Yi-Zhe Song
ObjD
34
32
0
27 Mar 2023
AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection
AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection
Puning Yang
Jian Liang
Jie Cao
Ran He
41
12
0
22 Mar 2023
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
Sungnyun Kim
Sangmin Bae
Se-Young Yun
22
9
0
20 Mar 2023
Open World Classification with Adaptive Negative Samples
Open World Classification with Adaptive Negative Samples
Ke Bai
Guoyin Wang
Jiwei Li
Sunghyun Park
Sungjin Lee
Puyang Xu
Ricardo Henao
Lawrence Carin
VLM
34
5
0
09 Mar 2023
Open-world Instance Segmentation: Top-down Learning with Bottom-up
  Supervision
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision
Tarun Kalluri
Weiyao Wang
Heng Wang
Manmohan Chandraker
Lorenzo Torresani
Du Tran
28
6
0
09 Mar 2023
Non-Parametric Outlier Synthesis
Non-Parametric Outlier Synthesis
Leitian Tao
Xuefeng Du
Xiaojin Zhu
Yixuan Li
OODD
33
98
0
06 Mar 2023
Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery
Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery
Zhaonan Li
Hongfu Liu
VLM
11
3
0
09 Feb 2023
Vocabulary-informed Zero-shot and Open-set Learning
Vocabulary-informed Zero-shot and Open-set Learning
Yanwei Fu
Xiaomei Wang
Hanze Dong
Yu-Gang Jiang
Meng Wang
Xiangyang Xue
Leonid Sigal
VLM
29
18
0
03 Jan 2023
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models
Feng Xue
Zi He
Chuanlong Xie
Falong Tan
Zhenguo Li
OODD
45
7
0
24 Dec 2022
Open World DETR: Transformer based Open World Object Detection
Open World DETR: Transformer based Open World Object Detection
Na Dong
Yongqiang Zhang
Mingli Ding
G. Lee
27
10
0
06 Dec 2022
Open-Set Object Detection Using Classification-free Object Proposal and
  Instance-level Contrastive Learning
Open-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learning
Zhongxiang Zhou
Yifei Yang
Yue Wang
R. Xiong
ObjD
21
13
0
21 Nov 2022
MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration
MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration
Zongyao Lyu
Nolan B. Gutierrez
William J. Beksi
BDL
19
2
0
20 Nov 2022
Learning to Discover and Detect Objects
Learning to Discover and Detect Objects
V. Fomenko
Ismail Elezi
Deva Ramanan
Laura Leal-Taixé
Aljosa Osep
ObjD
33
10
0
19 Oct 2022
Large-Scale Open-Set Classification Protocols for ImageNet
Large-Scale Open-Set Classification Protocols for ImageNet
Jesus Andres Palechor Anacona
Annesha Bhoumik
Manuel Günther
45
7
0
13 Oct 2022
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