T-VSE: Transformer-Based Visual Semantic Embedding

17 May 2020Muhammet BastanArnau RamisaMehmet Tek

Transformer models have recently achieved impressive performance on NLP tasks, owing to new algorithms for self-supervised pre-training on very large text corpora. In contrast, recent literature suggests that simple average word models outperform more complicated language models, e.g., RNNs and Transformers, on cross-modal image/text search tasks on standard benchmarks, like MS COCO... (read more)

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