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 ...

Encoder-Decoder Architecture CNN Encoder: The CNN serves as the feature extractor in our architecture. We use a pre-trained CNN model, specifically either VGG16 or ResNet-50, which are known for their ...

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 ...

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 ...

CNN-based techniques for nuclei instance segmentation (and classification) can be broadly classified into two main categories, detection-based methods such as Mask R-CNN , and encoder-decoder-based ...

CNNs excel in handling grid-like data such as images, RNNs are unparalleled in their ability to process sequential data, GANs offer remarkable capabilities in generating new data samples, Transformers ...

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 ...