… models for image captioning. However, these models frequently produce generic captions
and may … , we also assess the captions through image-to-text and text-to-image retrieval tasks. …

… auxiliary text, such as generating or editing an image … image captioning. Note that our method
does not employ the CLIP’s textual encoder, since there is no input text, and the output text …

… images with associative captions is expensive and time-consuming. In this paper, we propose
an image captioning … ) based text to image generator to generate synthetic images. We …

… Then, we introduce our whole model for image captioning, which includes an image encoder
and an adaptive visual-text decoder in Section 3. The experimental evaluation including …

… work they do not leverage a multimodal metric between images and phrases. More recently,
automatic image sentence description approaches based on deep neural networks have …

… Finally, we test the system-level correlation of the proposed metric when considering popular
image captioning approaches, and assess the impact of employing different cross-modal …

… This paper attempts to generate accurate and coherent Chinese alt texts for images. Drawing
on the classic image captioning model NIC, the author designed a novel Chinese alt text …

… guiding text, a free-form text input that is assumed to be related to some concept(s) in the
image; and we consider the Guided Image Captioning task, where the guiding text is provided …

… for image captioning. ent sentence, which covers most semantics in an image that are
worthy of mention and meanwhile describes them in linguistic order. Modern image captioning …

… captioning system. Our goal was not to audit this image captioning system, but rather to …
Specifically, each image’s alttext was extracted and fed through a data cleaning pipeline that…