Global contextual information needs to be modeled precisely for accurate segmentation of images taken by Unmanned Aerial Vehicles (UAVs). This paper presents a transformer-based method for UAV street ...

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 ...

Generate caption on images using CNN Encoder- LSTM Decoder structure. This project is the second project of Udacity's Computer Vision Nanodegree and combines computer vision and machine translation ...

Automated Image Description System that uses classic encoder (CNN+LSTM) decoder (stacked LSTM) model to generate appropriate descriptions for images This implementation is part of a Independent Study, ...

As a result, the model can be trained from the ground up with costs comparable to a naive encoder-decoder model. Results of Benchmarking. With minimal adaptation, the CoCa model can be fine-tuned ...