CS550 Machine Learning course project on CNN Detection.

Last update: Jan 30, 2022

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Deep Learning ml_cs550

Overview

CNN Detection (CS550 Machine Learning Project)

Team Members (Tensor) :

Yadava Kishore Chodipilli (11940310)
Thashmitha BS (11941250)

This is a work done in our CS550 course. We took the model from `this github link` for learning. We retrained it with a different dataset (more details can be found inside CNN Detection folder's `README` file and our `project report` pdf.)

`Our Work` : Original model was trained on progan dataset with a resnet50 classifier and we trained our model with stylegan dataset (relatively very small dataset, obtained from original model's testing dataset) with resnet101 and resnet152 classifiers. Results and trained models are provided for your reference, links can be found inside main code folder's `README` file.

Folder Structure :

CNN Detection (code folder)
Demo_video (small demo of the code, running in google colab)
Project Report (report of our project)
Project Presentation (presentation slides of our project)

CS550 Machine Learning course project on CNN Detection.

Related tags

Overview

CNN Detection (CS550 Machine Learning Project)

Team Members (Tensor) :

This is a work done in our CS550 course. We took the model from `this github link` for learning. We retrained it with a different dataset (more details can be found inside CNN Detection folder's `README` file and our `project report` pdf.)

Folder Structure :

Owner

yaadava_kishore

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CS550 Machine Learning course project on CNN Detection.

Related tags

Overview

CNN Detection (CS550 Machine Learning Project)

Team Members (Tensor) :

This is a work done in our CS550 course. We took the model from this github link for learning. We retrained it with a different dataset (more details can be found inside CNN Detection folder's README file and our project report pdf.)

Folder Structure :

Owner

yaadava_kishore

FAMIE is a comprehensive and efficient active learning (AL) toolkit for multilingual information extraction (IE)

Attempt at implementation of a simple GAN using Keras

FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection

Code and data to accompany the camera-ready version of "Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation" in EMNLP 2021

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

List some popular DeepFake models e.g. DeepFake, FaceSwap-MarekKowal, IPGAN, FaceShifter, FaceSwap-Nirkin, FSGAN, SimSwap, CihaNet, etc.

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

This is the repo of the manuscript "Dual-branch Attention-In-Attention Transformer for speech enhancement"

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Python TFLite scripts for detecting objects of any class in an image without knowing their label.

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Pytorch implementation of Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization https://arxiv.org/abs/2008.11646

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Rafael Project- Classifying rockets to different types using data science algorithms.

This is a work done in our CS550 course. We took the model from `this github link` for learning. We retrained it with a different dataset (more details can be found inside CNN Detection folder's `README` file and our `project report` pdf.)