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• W2955261981 abstract "Recently, with the prevalence of large-scale image dataset, the co-occurrence information among classes becomes rich, calling for a new way to exploit it to facilitate inference. In this paper, we propose Obj-GloVe, a generic scene-based contextual embedding for common visual objects, where we adopt the word embedding method GloVe to exploit the co-occurrence between entities. We train the embedding on pre-processed Open Images V4 dataset and provide extensive visualization and analysis by dimensionality reduction and projecting the vectors along a specific semantic axis, and showcasing the nearest neighbors of the most common objects. Furthermore, we reveal the potential applications of Obj-GloVe on object detection and text-to-image synthesis, then verify its effectiveness on these two applications respectively." @default.
• W2955261981 created "2019-07-12" @default.
• W2955261981 creator A5006748765 @default.
• W2955261981 creator A5037479075 @default.
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• W2955261981 date "2019-07-02" @default.
• W2955261981 modified "2023-09-25" @default.
• W2955261981 title "Obj-GloVe: Scene-Based Contextual Object Embedding." @default.
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• W2955261981 hasPublicationYear "2019" @default.
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