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StarNet: towards Weakly Supervised Few-Shot Object Detection
Author(s) -
Leonid Karlinsky,
Joseph Shtok,
Amit Alfassy,
Moshe Lichtenstein,
Sivan Harary,
Eli Schwartz,
Sivan Doveh,
Prasanna Sattigeri,
Rogério Feris,
Alex Bronstein,
Raja Giryes
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i2.16268
Subject(s) - artificial intelligence , computer science , shot (pellet) , object detection , bounding overwatch , minimum bounding box , object (grammar) , pattern recognition (psychology) , task (project management) , annotation , computer vision , image (mathematics) , parametric statistics , class (philosophy) , single shot , mathematics , chemistry , statistics , management , organic chemistry , economics , physics , optics

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