Every day, your body replaces billions of cells—and yet, your tissues stay perfectly organized. How is that possible?

We address the problem of depth estimation from a single monocular image in the paper. Depth estimation from a single image is an ill-posed and inherently ambiguous problem. In the paper, we propose ...

Benefitting from the encoder and decoder structure and the innovative components inside encoder, MFANet is very powerful for the semantic segmentation of remote sensing images and can suit the ...

Recent research sheds light on the strengths and weaknesses of encoder-decoder and decoder-only models architectures in machine translation tasks.

This information encoding system is called binary. It's the form of encoding that allows computers to run. Binary uses two states (represented by the digits 0 and 1) to encode information. This ...

To address the above problems, we designed and implemented a segmentation network based on a multi-encoder and single-decoder structure, named MM-UNet, for multimodal brain tumor image segmentation.