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 ...

This CNN is often called the encoder since it encodes the content of the image into a smaller feature vector Then we can process this feature vector and use it as an initial input to the following RNN ...

In the present era of computer vision, the dehazing technique has a substantial role in numerous real-world applications, including outdoor surveillance, video-assisted conveyance, and support system ...

The decoder-network of l,r-PanoED adaptively reconstructs the output panoramic-view from the encoder networks' bottle-neck feature-maps. The proposed l,r-Stitch Unit has been rigorously benchmarked ...

Particularly, deep neural networks based on U-shaped architectures and skip connections have been extensively employed in various medical image tasks. U-Net is characterized by its encoder-decoder ...

Subsequently, the dual-branch encoder executes the feature extraction process on the input image, followed by the recovery and reconstruction of the extracted features via the CNN decoder. Ultimately, ...

Encoder-Decoder Architectures Encoder-decoder architectures are a broad category of models used primarily for tasks that involve transforming input data into output data of a different form or ...