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Tightening Classification Boundaries in Open Set Domain Adaptation
  through Unknown Exploitation

Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation

SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2023
16 September 2023
Lucas Fernando Alvarenga e Silva
Andrii Zadaianchuk
Jurandy Almeida
ArXiv (abs)PDFHTML

Papers citing "Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation"

2 / 2 papers shown
Title
E-MLNet: Enhanced Mutual Learning for Universal Domain Adaptation with Sample-Specific Weighting
E-MLNet: Enhanced Mutual Learning for Universal Domain Adaptation with Sample-Specific Weighting
Samuel Felipe dos Santos
Tiago A. Almeida
Jurandy Almeida
52
0
0
10 Sep 2025
Beyond the Known: Enhancing Open Set Domain Adaptation with Unknown
  Exploration
Beyond the Known: Enhancing Open Set Domain Adaptation with Unknown ExplorationPattern Recognition Letters (PR), 2024
Lucas Fernando Alvarenga e Silva
Samuel Felipe dos Santos
Andrii Zadaianchuk
Jurandy Almeida
142
4
0
24 Dec 2024
1