TIMAM combines an adversarial modality discriminator, norm-softmax identification losses, and a cross-modal projection matching loss with a BERT plus bidirectional LSTM text encoder, achieving state-of-the-art text-to-image retrieval on CUHK-PEDES, Flickr30K, CUB, and Flowers.
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Adversarial Representation Learning for Text-to-Image Matching
TIMAM combines an adversarial modality discriminator, norm-softmax identification losses, and a cross-modal projection matching loss with a BERT plus bidirectional LSTM text encoder, achieving state-of-the-art text-to-image retrieval on CUHK-PEDES, Flickr30K, CUB, and Flowers.