DIMA: Digging Into Multigranular Archetype for Fine-Grained Object Detection
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DOI: 10.1109/tgrs.2024.3415809
Abstract: Fine-grained remote sensing object detection aims at precisely locating objects and determining the fine-level categories. This task is exceptionally challenging due to the substantial interclass similarity, presenting difficulties in capturing discriminative features. We attribute this… read more here.
Keywords: object detection; dima; fine grained; digging multigranular ... See more keywords