FOSNet fuses object and scene features via CNN and uses scene coherence loss to report SOTA accuracies of 60.14% on Places2 and 90.37% on MIT Indoor67.
Scene recognition via object-to-scene class conversion: end-to-end training,
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FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition
FOSNet fuses object and scene features via CNN and uses scene coherence loss to report SOTA accuracies of 60.14% on Places2 and 90.37% on MIT Indoor67.