Papers › Let there be a clock on the beach: Reducing Object Hallucination in Image Captioning

Let there be a clock on the beach: Reducing Object Hallucination in Image Captioning

4 Oct 2021arXiv:2110.01705archive 2025-07-28

Ali Furkan Biten, Lluis Gomez, Dimosthenis Karatzas

Explaining an image with missing or non-existent objects is known as object bias (hallucination) in image captioning. This behaviour is quite common in the state-of-the-art captioning models which is not desirable by humans. To decrease the object hallucination in captioning, we propose three simple yet efficient training augmentation method for sentences which requires no new training data or increase in the model size. By extensive analysis, we show that the proposed methods can significantly diminish our models' object bias on hallucination metrics. Moreover, we experimentally demonstrate that our methods decrease the dependency on the visual features. All of our code, configuration files and model weights will be made public.

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combine_coco_captions furkanbiten/object-bias/chair/utils/chair.py official repository ran · our draft was wrong MIT (permissive) · ee0eaa40d818b077 · report
combine_coco_instances furkanbiten/object-bias/chair/utils/chair.py official repository ran · our draft was wrong MIT (permissive) · d895aa09a553295e · report
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HallucinationImage CaptioningObjectObject Hallucination

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