Semi Supervised Learning for Image Captioning

1 papers with code • 1 benchmarks • 1 datasets

This task has no description! Would you like to contribute one?


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.