Nikhil Tomar

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in...

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ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

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A simple tcp client server application that describes the communication between the client and a server. The server is a simple echo sever that can handle multiple client using fork.

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Implementing polyp segmentation using the U-Net and CVC-612 dataset.

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A simple Chatroom built in C programming language. The program is built uses multithreading for handling multiple clients.

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The respository contains the code for the Deep Convolutional Generative Adversarial Network (DCGAN) trained on the anime faces dataset.

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DDANet: Dual Decoder Attention Network for automatic Polyp Segmentation [International Conference on Pattern Recognition 2021]

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FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation [IEEE Transactions on Neural Networks and Learning Systems]

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A simple TCP client-server program written in C. In this program the client read a file and send its data to server. The server then receives the data and write it in a text file.

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DeepLabV3+ with squeeze and excitation network for human image segmentation in TensorFlow 2.5.0

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