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New fully open source vision encoder OpenVision arrives to improve on OpenAI’s Clip, Google’s SigLIP
A vision encoder is a necessary component for allowing many leading LLMs to be able to work with images uploaded by users.
Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are unable to ...
The official repository for “Hierarchical Encoder-decoder for Image Captioning (HierCap)”. HierCap is a model to guide text generation with hierarchical visual information at three levels: global ...
Image captioning refers to the process of creating a natural language description for one or more images. This task has several practical applications, from aiding in medical diagnoses through image ...
In order to solve the above problems, we propose a coarse-fine image caption method based on dual encoder-decoder framework, which provides a mechanism for discovering and correcting omissions and ...
To address these issues, this paper studies and optimizes the image caption model with encoder-decoder architecture. The structure of the paper is arranged as follows: section 2 puts forward the image ...
On the other hand, encoder-decoder approaches are good at image captioning and visual question answering but not retrieval-style tasks. Google AI researchers provide a unified vision backbone model ...
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