We propose to use visualization images and QR codes data as training data and design a robust deep encoder-decoder network. The designed model considers the salient features of visualization images to ...

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 ...

Declarative grammar is becoming an increasingly important technique for understanding visualization design spaces. The GoTreeScape system presented in the paper allows users to navigate and explore ...

Many computational methods have been proposed to predict drug–drug interactions (DDIs), which can occur when combining drugs to treat various diseases, but most mainly utilize single-source features ...

The key to addressing these challenges lies in separating the encoder and decoder components of multimodal machine learning models.

They call this approach "OCR-2.0". GOT consists of an efficient image encoder with 80 million parameters and a versatile speech decoder with 500 million parameters, enabling it to recognize and ...

IRVINE, Calif.—Teradek will launch its new Prism 877 4K HEVC encoder/decoder cards at the IBC 2024, Sept. 13-16, at the RAI Amsterdam Convention Center. The cards allow users to switch between ...

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

For this reason, this study designs a segmentation method based on encoder-decoder architecture with strip pooling and ASPP to capture the complete shape of the ridge and clearly delineate the edges ...

"The VH-DECODER-4K converts digital data received from IP networks into video signals for display on a monitor," explained Mike Poe, Director, Product Management at 3xLOGIC.