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Unsupervised Object Localization driven by self-supervised foundation models: A comprehensive review

delete2025-11-12
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PRE
AI
S
Sotirios Papadopoulos *
E
Emmanouil Patsiouras
K
Konstantinos Ioannidis
S
Stefanos Vrochidis
I
Ioannis Kompatsiaris
I
Ioannis Patras
DOI:10.1016/j.imavis.2025.105807delete
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Abstract

Abstract

En 中文
• We cover the latest unsupervised object localization methods beyond prior surveys. • We include semantic labeling and instance separation - missing in earlier overviews. • We benchmark on diverse datasets with detailed implementation settings.

Journal

Image and Vision Computing cover
Image and Vision Computing
IF:
4.2
Papers:
4.0K
Citations:
6.7K

Organization

Q
queen mary university of london
Scholars:
1.8K
Papers: 1.1K
Citations: 0
C
certh
Scholars:
86
Papers: 33
Citations: 0