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From show to tell: A survey on deep learning-based image captioning
Connecting Vision and Language plays an essential role in Generative Intelligence. For this
reason, large research efforts have been devoted to image captioning, ie describing images …
reason, large research efforts have been devoted to image captioning, ie describing images …
Automated identification of media bias in news articles: an interdisciplinary literature review
Media bias, ie, slanted news coverage, can strongly impact the public perception of the
reported topics. In the social sciences, research over the past decades has developed …
reported topics. In the social sciences, research over the past decades has developed …
Microsoft coco captions: Data collection and evaluation server
In this paper we describe the Microsoft COCO Caption dataset and evaluation server. When
completed, the dataset will contain over one and a half million captions describing over …
completed, the dataset will contain over one and a half million captions describing over …
[PDF][PDF] Referitgame: Referring to objects in photographs of natural scenes
In this paper we introduce a new game to crowd-source natural language referring
expressions. By designing a two player game, we can both collect and verify referring …
expressions. By designing a two player game, we can both collect and verify referring …
A survey on automatic image caption generation
Image captioning means automatically generating a caption for an image. As a recently
emerged research area, it is attracting more and more attention. To achieve the goal of …
emerged research area, it is attracting more and more attention. To achieve the goal of …
Grounded compositional semantics for finding and describing images with sentences
Abstract Previous work on Recursive Neural Networks (RNNs) shows that these models can
produce compositional feature vectors for accurately representing and classifying sentences …
produce compositional feature vectors for accurately representing and classifying sentences …
Automatic description generation from images: A survey of models, datasets, and evaluation measures
Automatic description generation from natural images is a challenging problem that has
recently received a large amount of interest from the computer vision and natural language …
recently received a large amount of interest from the computer vision and natural language …
See say and segment: Teaching lmms to overcome false premises
Abstract Current open-source Large Multimodal Models (LMMs) excel at tasks such as open-
vocabulary language grounding and segmentation but can suffer under false premises …
vocabulary language grounding and segmentation but can suffer under false premises …
Good news, everyone! context driven entity-aware captioning for news images
Current image captioning systems perform at a merely descriptive level, essentially
enumerating the objects in the scene and their relations. Humans, on the contrary, interpret …
enumerating the objects in the scene and their relations. Humans, on the contrary, interpret …
TreeTalk: Composition and Compression of Trees for Image Descriptions
We present a new tree based approach to composing expressive image descriptions that
makes use of naturally occuring web images with captions. We investigate two related tasks …
makes use of naturally occuring web images with captions. We investigate two related tasks …