Semi Supervised Learning for Image Captioning

2 papers with code • 3 benchmarks • 3 datasets

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Most implemented papers

Text-Only Training for Image Captioning using Noise-Injected CLIP

davidhuji/capdec 1 Nov 2022

We consider the task of image-captioning using only the CLIP model and additional text data at training time, and no additional captioned images.

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.