The BART model is one example of a standalone encoder-decoder Transformer model adopting sequence-to-sequence pretraining method, which can be used for document summarization, question answering and ...

After such a Vision-Encoder-Text-Decoder model has been trained/fine-tuned, it can be saved/loaded just like any. other models (see the examples for more information). This model inherits from ...

This paper introduces a groundbreaking enhancement to image captioning through a unique approach that harnesses the combined power of the Vision Encoder-Decoder model. By leveraging the Swin ...

After such a Vision-Encoder-Text-Decoder model has been trained or fine-tuned, it can be saved/loaded just like any other model. VLP (Vision Language Pre-training) Mixed-modal frame. Damodaran says ...

In this article, we are going to see how we can remove noise from the image data using an encoder-decoder model. Having clear and processed images or videos is very important in any computer vision ...

Our research focuses on Bangla Image Captioning which involves generating descriptive captions for the images. To address this task, we propose a new approach using the Vision Encoder-Decoder model, ...