We developed a deep-learning pipeline using a U-Net–type encoder–decoder architecture for precise pixel-level CTC discrimination in peripheral blood nucleated cells (PBNCs). This method preserves ...

OpenVision, then, with its permissive Apache 2.0 license and family of 26 (!) different models spanning between 5.9 million parameters to 632.1 million parameters, allows any developer or AI model ...

Better open-source H.265 encoders available Chipzilla has walked away from its SVT-HEVC, a BSD-licensed high-performance H.265/HEVC video encoder project optimised for Xeon Scalable and Xeon D ...

Many encoder-decoder network architectures use a series of convolutional layers and consecutive downsampling layers in the encoder to extract deep features with large receptive fields. High-resolution ...

Motion-compensated prediction that accounts for loss in the channel is achieved by the source-channel prediction (SCP) method, which is based on the expected decoder reconstruction of past frames ...

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Matrox Single-Channel Maevex 7100 Series AVC/HEVC 4K60 Encoders Nov. 29, 2023 These new professional encoders are ideal for use in control rooms, command centers, and other mission-critical ...

We propose a novel method for addressing blind source separation of non-linear mixtures via multi-encoder single-decoder autoencoders with fully self-supervised learning. During training, our method ...