Pro Convert encoders transform HDMI or SDI source signals into NDI ... view technical details of the NDI streams; configure the decoder's output resolution; and adjust video output functions including ...

A CNN automatically detects the important features without ... text summarization, and sentiment analysis. Encoder-decoder architectures are a broad category of models used primarily for tasks that ...

In fact, Vision Transformers (ViT) have emerged as a promising option for convolutional neural networks (CNN) for image analysis tasks ... feature extraction and combine it with the transformer ...

used Mask R-CNN to classify and segment farmland of various crop types, which is a model that adds pixel-level segmentation of each target instance on the basis of target detection. Additionally, the ...

In this work, we propose a novel auto-regressive dense encoder-decoder convolutional neural network to solve ... testing and figure replication. Note: PyTorch <= 1.2.0 must be used due to a change ...

These metric are calculated as follows: Our method was implemented based on the Pytorch Deep Learning ... we use EfficientNet as a CNN-based encoder. Effect of combination: The segmentation network ...