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Deformable Part Region Learning for Object Detection
Author(s) -
SeungHwan Bae
Publication year - 2022
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.v36i1.19883
Subject(s) - cascade , artificial intelligence , segmentation , computer science , object (grammar) , computer vision , object detection , detector , transformation (genetics) , pattern recognition (psychology) , convolutional neural network , feature (linguistics) , ground truth , geometric transformation , image (mathematics) , engineering , telecommunications , biochemistry , chemistry , linguistics , philosophy , chemical engineering , gene

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