In this project, I implemented a UNet model for semantic segmentation. The UNet architecture is particularly well-suited for biomedical image segmentation due to its symmetric structure, which ...

The UNet architecture follows the encoder-decoder paradigm. Encoder: The encoder part captures the contextual information from the input image. It consists of repeated applications of convolutional ...

Illustrations of different types of encoders, the structures of encoders (A–C) are derived from UNet's encoder, decoder, and full structure, respectively. C1 represents a feature map of the same size ...

Diffusion models, integral in text-to-video and reference-guided image generation, leverage the UNet architecture, comprising an encoder, bottleneck, and decoder. While past research focused on the ...

One of the most important key points in the intelligent transportation systems is scene understanding of the known and unknown surrounding environment to achieve a safe driving for smart mobile robots ...

With rapid development of deep neural network-based image processing techniques, many areas like augmented reality, robotic vision are adopting image segmentation technique for addressing image ...