A team of researchers from the National University of Singapore and collaborators at Oxford University, the University of ...

A Fully Convolutional Encoder-Decoder Network for Moving Object Segmentation Abstract: Moving object segmentation (MOS) is one of the important and well-studied computer vision problems. It is used in ...

Aggregation Network,Attention Mechanism,Change Detection,Complementary Features,Convolution Operation,Convolutional Encoder,Convolutional Layers,Convolutional Neural ...

AlphaGenome scores mutation effects across coding and non-coding DNA, bringing gene insights to the base-pair level.

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 ...

The company will also preview its Pro Convert Xmit AIO, the first member of the Xmit family, at Infocomm. The streaming encoder/decoder is a standalone device that converts one channel of SDI or HDMI ...

Optical Camera Communication (OCC) systems utilise cameras as receivers to decode information transmitted through light-emitting devices. This approach, an offshoot of visible light communication ...

For a more general-purpose approach, like if you’re trying to dump and load data from a more standard computer that uses 1200/2400 Hz FSK encoding, this Python library may be useful, or you can ...

Specialized architectures, including Convolutional Encoder-Decoder Residual Neural Network (CEDRNN) and Graph Convolutional Network (GCN), exhibited promising results but were limited to the LiTS 2017 ...

Explanation for the options (all optinos are parsed in config.py):--task_type: the task on which you will train/test your model.Possible values are: sc standing for normal simulated sparse coding ...