Boosting Deep Open World Recognition by Clustering

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Boosting Deep Open World Recognition by Clustering

20 April 2020

Samuel Rota Buló

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Papers citing "Boosting Deep Open World Recognition by Clustering"

11 / 11 papers shown

Title
Model Evaluation for Domain Identification of Unknown Classes in Open-World Recognition: A Proposal Gusti Ahmad Fanshuri Alfarisy O. A. Malik Ong Wee Hong 96 0 0 09 Dec 2023
OpenGCD: Assisting Open World Recognition with Generalized Category Discovery Fulin Gao Weimin Zhong Zhixing Cao Xin Peng Zhi Li 117 3 0 14 Aug 2023
Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis Mingyuan Liu Lu Xu Jicong Zhang 91 5 0 10 Jul 2023
Semantic Novelty Detection via Relational Reasoning Francesco Cappio Borlino S. Bucci Tatiana Tommasi 142 4 0 18 Jul 2022
Contrastive Learning for Cross-Domain Open World Recognition Francesco Cappio Borlino S. Bucci Tatiana Tommasi SSL 109 3 0 17 Mar 2022
On the Challenges of Open World Recognitionunder Shifting Visual Domains Dario Fontanel Fabio Cermelli Goran Frehse Barbara Caputo 98 1 0 09 Jul 2021
Continual Novelty Detection Rahaf Aljundi Daniel Olmeda Reino N. Chumerin Richard Turner 81 14 0 24 Jun 2021
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data Xu Jia Kai Han Yukun Zhu Bradley Green 263 67 0 26 Apr 2021
Boosting Binary Masks for Multi-Domain Learning through Affine Transformations Goran Frehse Elisa Ricci Barbara Caputo Samuel Rota Buló 96 7 0 25 Mar 2021
Towards Recognizing New Semantic Concepts in New Visual Domains Goran Frehse OOD 186 0 0 16 Dec 2020
LSD-C: Linearly Separable Deep Clusters Sylvestre-Alvise Rebuffi Sébastien Ehrhardt Kai Han Andrea Vedaldi Andrew Zisserman 105 24 0 17 Jun 2020