A vision encoder is a necessary component for allowing many leading LLMs to be able to work with images uploaded by users.

The TT-SDVoE-HTRA features a fully hot-swappable card design, centralised monitoring and redundant power supply for maximum ...

Joel Mulpeter, Director of Product Marketing at Crestron Electronics, shares insights on emerging trends, best practices for ...

Transformers are a type of neural network architecture that was first developed by Google in its DeepMind laboratories. The ...

The core innovation lies in replacing the traditional DETR backbone with ConvNeXt, a convolutional neural network inspired by ...

This article examines recent data on compression efficiency and data usage for hardware and software decoding and explores how this data shapes the value proposition for publishers opting for software ...

in which a sequence decomposition module is designed to decompose the input time series into different sub-sequences. Then, these sub-sequences are constructed by the encoder-decoder models separately ...

Abstract: Dense prediction is concerned with predicting a label for each of the input units, such as pixels of an image ... Here, we proposed a general encoder-decoder network architecture that aims ...

April 21, 2022-- Xylon has just revealed two new IP products for lossless and on-the-fly MJPEG video compression and decompression. New logiJPGE-LS and logiJPGD-LS IP cores from the logicBRICKS by ...

The “fwctl” subsystem has been merged. It’s designed to pass command data directly through to complex firmware systems, and ...

March 11, 2021 -- Allegro DVT, the leading provider of video processing silicon IPs, today announced the release of new versions of its D3x0 and E2x0 decoder and encoder IPs with extended ... already ...