We introduce a new concept of 'co-recognition'for object-level image matching between an
arbitrary image pair. Our method augments putative local region matches to reliable object-
level correspondences without any supervision or prior knowledge on common objects. It
provides the number of reliable common objects and the dense correspondences between
the image pair. In this paper, generative model for co-recognition is presented. For
inference, we propose data-driven Monte Carlo image exploration which clusters and …

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Monte Carlo Image Exploration Title Co-Recognition of Image Pairs by Data-Driven Monte …