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What is Fully Convolutional Networks Explained about?

The document explains the process of Fully Convolutional Networks (FCNs) for semantic segmentation, detailing downsampling through convolution and pooling, followed by upsampling using unpooling and transposed convolutions to restore the original image size. It highlights the introduction of skip connections to improve segmentation accuracy by linking early layers with fine details to later layers with high-level information, resulting in sharper predictions. The final output provides a class label for each

Author

tharshiniapr26

Language

EN