Scene Clustering Based Pseudo-labeling Strategy for Multi-modal Aerial View Object Classification. (arXiv:2205.01920v1 [cs.CV])

Multi-modal aerial view object classification (MAVOC) in Automatic target
recognition (ATR), although an important and challenging problem, has been
under studied. This paper firstly finds that fine-grained data, class imbalance
and various shooting conditions preclude the representational ability of
general image classification. Moreover, the MAVOC dataset has scene aggregation
characteristics. By exploiting these properties, we propose Scene Clustering
Based Pseudo-labeling Strategy (SCP-Label), a simple yet effective method to
employ in post-processing. The SCP-Label brings greater accuracy by assigning
the same …

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