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Multi-stage Deep Classifier Cascades for Open World Recognition

Multi-stage Deep Classifier Cascades for Open World Recognition

International Conference on Information and Knowledge Management (CIKM), 2019
26 August 2019
Xiaojie Guo
Amir Alipour-Fanid
Lingfei Wu
Hemant Purohit
Xiang Chen
K. Zeng
Bo Pan
    ObjD
ArXiv (abs)PDFHTML

Papers citing "Multi-stage Deep Classifier Cascades for Open World Recognition"

5 / 5 papers shown
Fast and Accurate Contextual Knowledge Extraction Using Cascading Language Model Chains and Candidate Answers
Fast and Accurate Contextual Knowledge Extraction Using Cascading Language Model Chains and Candidate Answers
Lee Harris
KELM
173
0
0
21 Jul 2025
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
177
0
0
09 Dec 2023
A Method for Discovering Novel Classes in Tabular Data
A Method for Discovering Novel Classes in Tabular Data
Colin Troisemaine
Joachim Flocon-Cholet
Stéphane Gosselin
Sandrine Vaton
Alexandre Reiffers-Masson
V. Lemaire
283
8
0
02 Sep 2022
Open-world Machine Learning: Applications, Challenges, and Opportunities
Open-world Machine Learning: Applications, Challenges, and OpportunitiesACM Computing Surveys (CSUR), 2021
Jitendra Parmar
S. Chouhan
Vaskar Raychoudhury
S. Rathore
OffRL
496
124
0
27 May 2021
A Review of Open-World Learning and Steps Toward Open-World Learning
  Without Labels
A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels
Mohsen Jafarzadeh
A. Dhamija
Steve Cruz
Chunchun Li
T. Ahmad
Terrance E. Boult
VLMOffRL
360
13
0
25 Nov 2020
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