When dealing with semantic segmentation, how to locate the object boundary information more accurately is a key problem to distinguish different objects better. The existing methods lose some image ...

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 ...

The company will also preview its Pro Convert Xmit AIO, the first member of the Xmit family, at Infocomm. The streaming encoder/decoder is a standalone device that converts one channel of SDI or HDMI ...

Next-generation U-Net Encoder: Decoder for accurate, automated CTC detection from images of peripheral blood nucleated cells stained with EPCAM and DAPI.. If you have the appropriate software ...

Fast base64 encoder/decoder. Contribute to chmike/base64 development by creating an account on GitHub.

The brain encoder then learns to align MEG signals to these image embeddings. Finally, the image decoder generates a plausible image based on these brain representations.

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

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 ...

An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.