Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation
Citations
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Cites background from "Visual Relationship Detection with ..."
...To solve this issue, Yim et al.; Yu et al. (2017; 2017) used a shared representation of layers, however, it’s not straightforward to choose the appropriate layer to be matched....
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...Since then, knowledge distillation has been widely adopted in a variety of learning tasks (Yim et al. 2017; Yu et al. 2017; Schmitt et al. 2018; Chen et al. 2017)....
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368Â citations
Cites methods from "Visual Relationship Detection with ..."
...Knowledge Distillation Since [7] proposed knowledge distillation based on prior work [2], KD has been widely adopted or modified [14, 19, 20, 4, 1, 11, 17]....
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271Â citations
Cites background from "Visual Relationship Detection with ..."
...Unlike [45], which leverages linguistic knowledge to regularize the network, our knowledge-based module improves the feature refining procedure by reasoning over a basket of commonsense knowledge retrieved from ConceptNet....
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...[45] extract linguistic knowledge from training annotations and Wikipedia, and distill knowledge to regularize training and provide extra cues for inference....
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...One direction to improve the datadriven model is to distill external knowledge into Deep Neural Networks [39, 45, 18]....
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References
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"Visual Relationship Detection with ..." refers methods in this paper
...To enable fully automatic phrase and relationship detection, we train a Fast R-CNN detector [7] using VGG-16 for object detection....
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