2024 Entity- aware image caption generation

Entity- aware image caption generation

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August undefined, 2024

WebFeb 3, 2024 · Abstract. Existing visual scene understanding methods mainly focus on identifying coarse-grained concepts about the visual objects and their relationships, largely neglecting fine-grained scene understanding. In fact, many data-driven applications on the Web (e.g., news-reading and e-shopping) require accurate recognition of much less … WebFeb 4, 2024 · Coherent entity-aware multi-image captioning aims to generate coherent captions for multiple adjacent images in a news document. There are coherence relationships among adjacent images because they often describe same entities or events. These relationships are important for entity-aware multi-image captioning, but are …

Transform, Contrast and Tell: Coherent Entity-Aware Multi-Image ...

WebShow and tell: A neural image caption generator. In Proceedings of the IEEE conference on computer vision and pattern recognition. 3156--3164. Google Scholar Cross Ref; Xuewen Yang, Svebor Karaman, Joel Tetreault, and Alex Jaimes. 2024. Journalistic Guidelines Aware News Image Captioning. arXiv preprint arXiv:2109.02865 (2024). Google Scholar WebThis paper explores the novel task of coherent entity-aware multi-image captioning, and proposes the contrastive entity-aware multi-image captioning model with the … mercury levels in tuna fish

Transform, Contrast and Tell: Coherent Entity-Aware Multi-Image ...

WebJul 26, 2024 · Boosting Entity-aware Image Captioning with Multi-modal Knowledge Graph. Entity-aware image captioning aims to describe named entities and events related to … WebApr 17, 2024 · Transform and Tell: Entity-Aware News Image Captioning. We propose an end-to-end model which generates captions for images embedded in news articles. … WebDec 1, 2024 · In this paper, we propose a novel news image captioning method to simultaneously preserve the semantic information, enhance the style coherence with the news articles, and ensure entity-aware controllable caption generation. We divide the image captioning process into two modules: Discourse Extraction (DiscExt) Module to … how old is kerri walsh

ICECAP: Information Concentrated Entity-aware …

Visual Entity Linking via Multi-modal Learning - MIT Press

WebIn this paper we propose a new task which aims to generate informative image captions, given images and hashtags as input. We propose a … WebMore- over, the desired entity-aware captions may con- tain information not directly present in the image alone. Unless the LM is trained or conditioned on data specific to the emergent situation of inter- est, the LM alone cannot generate a caption that incorporates the specific background information. We address this issue by only relying on ... how old is kermit the frog todayWebJun 20, 2024 · An image caption should fluently present the essential information in a given image, including informative, fine-grained entity mentions and the manner in which these entities interact. However, current captioning models are usually trained to generate captions that only contain common object names, thus falling short on an important ... how old is kerri einarson

"WebIn our recent paper published in CVPR 2024, we propose an end-to-end model that can generate linguistically-rich captions for news images. We also build a live demo where people can generate a caption for any New York Times article.. The Goal: Generating Interesting Captions. For many years, computers have been able to automatically … " - Entity- aware image caption generation

Entity- aware image caption generation

Transform, Contrast and Tell: Coherent Entity-Aware Multi-Image ...

WebAug 4, 2024 · Most current image captioning systems focus on describing general image content, and lack background knowledge to deeply understand the image, such as exact … WebFeb 4, 2024 · Hence, this paper proposes a coherent entity-aware multi-image captioning model by making use of coherence relationships. The model consists of a Transformer …

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WebIn particular, they are unable to generate captions that contain references to the geographic context of an image, for example, the loca-tion where a photograph is taken or relevant geographic objects around an image location. In this paper, we develop a geo-aware image caption generation system, which incorporates geo- Webend Entity-aware Caption Generation Module, which leverages the textual information of the retrieved sentences at the word level and jointly performs template caption …

WebReinforcing an Image Caption Generator using Off-line Human Feedback. Memorizing Style Knowledge for Image Captioning. Joint Commonsense and Relation Reasoning for Image and Video Captioning. ... Good News, Everyone! Context driven entity-aware captioning for news images. Pointing Novel Objects in Image Captioning Engaging … WebOct 8, 2024 · In this paper we propose VisualNews-Captioner, an entity-aware model for the task of news image captioning. We also introduce VisualNews, a large-scale …

WebSep 7, 2024 · The task of news article image captioning aims to generate descriptive and informative captions for news article images. Unlike conventional image captions that simply describe the content of the image in general terms, news image captions follow journalistic guidelines and rely heavily on named entities to describe the image content, … WebJul 26, 2024 · Abstract. Entity-aware image captioning aims to describe named entities and events related to the image by utilizing the background knowledge in the associated article. This task remains ...

WebFeb 4, 2024 · Coherent entity-aware multi-image captioning aims to generate coherent captions for multiple adjacent images in a news document.There are coherence relationships among adjacent images because they often describe same entities or events. These relationships are important for entity-aware multi-image captioning, but are …

WebJul 26, 2024 · The architecture improves both the image encoding and the language generation steps: it learns a multi-level representation of the relationships between … mercury lewis dotWebJul 3, 2024 · Image captioning is a procedure to generate brief textual descriptions of an image. It is possible for humans to give a description of an image just by looking at it. Humans have world knowledge and are able to identify faces and objects. Machine-generated captions could greatly improve the accessibility of images to blind people … mercury level switchWebSep 7, 2024 · Our approach, Journalistic Guidelines Aware News Image Captioning (JoGANIC), leverages the structure of captions to improve the generation quality and guide our representation design. Experimental ... mercury life cycleWebMar 15, 2024 · Coherent entity-aware multi-image captioning aims to generate coherent captions for multiple adjacent images in a news document. There are coherence relationships among adjacent images because they often describe same entities or events. ... The model consists of a Transformer-based caption generation model and two types … mercury lewis and clarkWebPROPOSED IMAGE CAPTION GENERATOR. Here we have shown the DFD’s of our system (i.e. Data Flow Diagrams). ... L. Huang, H. and S.-F. Chang, \"Entity- aware Image Caption Generation,\" in Empirical Methods in Natural Language Processing, Brussels, 2024. [5] C. Elamri and T. Planque, \"Automated Neural Image Caption Generator for … how old is kerry lake how old is kerry cassidyWebImage Caption Classic. 2015 Show, attend and tell: Neural image caption generation with visual attention [] (ATTN). 2015 Show and tell: A neural image caption generator [] (NIC). 2015 Deep visual-semantic … mercury life