An empirical comparison claims BidGRU with embedding size 300 and vocabulary 3000 is the best resource-constrained VQA configuration, but the paper lacks dataset and statistical details.
Beyond a pre-trained object detector: Cross-modal textual and visual context for image captioning,
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Performance Analysis of Traditional VQA Models Under Limited Computational Resources
An empirical comparison claims BidGRU with embedding size 300 and vocabulary 3000 is the best resource-constrained VQA configuration, but the paper lacks dataset and statistical details.