Revisiting Image Captioning Training Paradigm via Direct CLIP-based Optimization (BMVC 2024 Oral ) - aimagelab/DiCO ...

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 ...

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 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 ...

Explore the Vision Transformer model, its importance, architecture, building and training process, and its diverse applications in various fields. The Hackett Group Announces Strategic Acquisition of ...