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

Standard transformer architecture consists of three main components - the encoder, the decoder and the attention mechanism. The encoder processes input data ...

In this paper, an efficient deep convolutional encoder-decoder network framework is proposed to remove ... SNR and lower RMSE and PRD compared to the traditional convolutional neural network (CNN) and ...

In this paper, we propose a waste segmentation method using Convolutional Neural Network based on the Encoder-Decoder approach of SegNet architecture [5]. We compare two different setups of the ...

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 ...

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

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 of sample ...

But neural networks only predict based on patterns from the past—what happens when the weather does something that's unprecedented ... Swarming is one of the principal forms of bacterial ...