Pre-training referring expression comprehension models on a fully synthetic, color-varied dataset generated with GLIGEN improves their fine-tuned accuracy on real benchmarks.
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Harlequin: Color-driven Generation of Synthetic Data for Referring Expression Comprehension
Pre-training referring expression comprehension models on a fully synthetic, color-varied dataset generated with GLIGEN improves their fine-tuned accuracy on real benchmarks.