Combining 25 frozen visual representations at the action level, with a task-affinity regularizer, roughly doubles success rate on unseen indoor navigation scenes compared with an ImageNet-pretrained ResNet baseline.
Matterport3D: Learning from RGB- D data in indoor environments
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Situational Fusion of Visual Representation for Visual Navigation
Combining 25 frozen visual representations at the action level, with a task-affinity regularizer, roughly doubles success rate on unseen indoor navigation scenes compared with an ImageNet-pretrained ResNet baseline.