Semi Supervised Learning for Image Captioning

1 papers with code • 1 benchmarks • 1 datasets

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Most implemented papers

Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning

csalt-research/perturb-predict-paraphrase IJCAI 2021

The original algorithm relies on computationally expensive data augmentation steps that involve perturbing the raw images and computing features for each perturbed image.