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Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition

Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition

IEEE International Conference on Robotics and Automation (ICRA), 2019
4 June 2019
Goran Frehse
H. Karaoğuz
Elisa Ricci
Patric Jensfelt
Barbara Caputo
ArXiv (abs)PDFHTML

Papers citing "Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition"

17 / 17 papers shown
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
164
0
0
09 Dec 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
241
5
0
14 Aug 2023
Neural Weight Search for Scalable Task Incremental Learning
Neural Weight Search for Scalable Task Incremental LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Jian Jiang
Oya Celiktutan
CLL
199
11
0
24 Nov 2022
Contrastive Learning for Cross-Domain Open World Recognition
Contrastive Learning for Cross-Domain Open World RecognitionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
SSL
194
3
0
17 Mar 2022
Building Human-like Communicative Intelligence: A Grounded Perspective
Building Human-like Communicative Intelligence: A Grounded PerspectiveCognitive Systems Research (CSR), 2021
M. Dubova
193
13
0
02 Jan 2022
On the Challenges of Open World Recognitionunder Shifting Visual Domains
On the Challenges of Open World Recognitionunder Shifting Visual DomainsIEEE Robotics and Automation Letters (RA-L), 2021
Dario Fontanel
Fabio Cermelli
Goran Frehse
Barbara Caputo
166
1
0
09 Jul 2021
Hyperbolic Busemann Learning with Ideal Prototypes
Hyperbolic Busemann Learning with Ideal PrototypesNeural Information Processing Systems (NeurIPS), 2021
Mina Ghadimi Atigh
Martin Keller-Ressel
Pascal Mettes
236
51
0
28 Jun 2021
Continual Novelty Detection
Continual Novelty Detection
Rahaf Aljundi
Daniel Olmeda Reino
N. Chumerin
Richard Turner
172
15
0
24 Jun 2021
Learngene: From Open-World to Your Learning Task
Learngene: From Open-World to Your Learning TaskAAAI Conference on Artificial Intelligence (AAAI), 2021
Qiufeng Wang
Xin Geng
Shuxia Lin
Shiyu Xia
Lei Qi
Ning Xu
199
33
0
12 Jun 2021
Continual Learning for Real-World Autonomous Systems: Algorithms,
  Challenges and Frameworks
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and FrameworksJournal of Intelligent and Robotic Systems (JIRS), 2021
Khadija Shaheen
Muhammad Abdullah Hanif
Osman Hasan
Mohamed Bennai
CLL
284
124
0
26 May 2021
Learning Graph Embeddings for Open World Compositional Zero-Shot
  Learning
Learning Graph Embeddings for Open World Compositional Zero-Shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Goran Frehse
Muhammad Ferjad Naeem
Yongqin Xian
Zeynep Akata
CoGe
286
101
0
03 May 2021
Boosting Binary Masks for Multi-Domain Learning through Affine
  Transformations
Boosting Binary Masks for Multi-Domain Learning through Affine TransformationsMachine Vision and Applications (MVA), 2020
Goran Frehse
Elisa Ricci
Barbara Caputo
Samuel Rota Buló
176
8
0
25 Mar 2021
Towards Recognizing New Semantic Concepts in New Visual Domains
Towards Recognizing New Semantic Concepts in New Visual Domains
Goran Frehse
OOD
291
0
0
16 Dec 2020
Fit to Measure: Reasoning about Sizes for Robust Object Recognition
Fit to Measure: Reasoning about Sizes for Robust Object RecognitionAAAI Spring Symposium Combining Machine Learning with Knowledge Engineering (CMLKE), 2020
Agnese Chiatti
Enrico Motta
E. Daga
Gianluca Bardaro
156
3
0
27 Oct 2020
Into the Unknown: Active Monitoring of Neural Networks
Into the Unknown: Active Monitoring of Neural NetworksRuntime Verification (RV), 2020
Anna Lukina
Christian Schilling
T. Henzinger
AAML
398
29
0
14 Sep 2020
Boosting Deep Open World Recognition by Clustering
Boosting Deep Open World Recognition by ClusteringIEEE Robotics and Automation Letters (RA-L), 2020
Dario Fontanel
Fabio Cermelli
Goran Frehse
Samuel Rota Buló
Elisa Ricci
Barbara Caputo
237
23
0
20 Apr 2020
Towards a Framework for Visual Intelligence in Service Robotics:
  Epistemic Requirements and Gap Analysis
Towards a Framework for Visual Intelligence in Service Robotics: Epistemic Requirements and Gap AnalysisInternational Conference on Principles of Knowledge Representation and Reasoning (KR), 2020
Agnese Chiatti
Enrico Motta
E. Daga
184
11
0
13 Mar 2020
1
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