DeepLabV3+ with ResNet50 as Encoder in TensorFlow 2.5 | DeepLabV3Plus | UNET
In this video, we are going to implement the DeepLabV3+ architecture from scratch in TensorFlow 2.5 framework. Here, we are going to use the ResNet50 as the pre-trained encoder for the network.
We have also used Squeeze and Excitation Network with the DeepLabV3+. Squeeze and Excitation Network is a channel-wise attention mechanism that suppresses irrelevant information and enhances the important one.
Code (GitHub): https://github.com/nikhilroxtomar/Sem...
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