quanghuy0497/The_PhD_Guidance

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quanghuy0497/The_PhD_Guidance

quanghuy0497

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Reasons, motivations, and resources that help pursuing the doctoral degree in Computer Science

Transformers4Vision

A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-shot Learning. Keep updated frequently.

Cheatsheet-collection

Cheatsheet collection for Math, ML, DL, AI. Update frequently

Jupyter Notebook

Writing-in-the-Sciences

A Stanford writing course to learn how to write scientific articles in a clear, concise, and effective way

Deep-Learning-Specialization

Coursera's Deep Learning Specialization offered by deeplearning.ai.

Jupyter Notebook

Mask_R-CNN

A modified version of Mask R-CNN based on Matterport's version. Featuring: polygon annotating mask generation and k-fold cross-validation training.

Jupyter Notebook

Few-shot-Learning_Summarization

A summarization of Few-shot Learning approaches for Computer Vision tasks, including image classification, object detection, and object segmentation. Keep updated frequently.

MM-Fit_Excercise_Recognition

Some incomplete works with 2D action recognition on MM-Fit dataset using ViT, ViViT, and MLP-Mixer Topics Resources

Jupyter Notebook

Face-Skin-Detection

A simple facial landmark detection using HoG-CNN (via dlib) and Skin detection with HSV-YCbCr colorspace.

Bayesian_Optimization

Jupyter Notebook

ObsNet_OOD_Segmentation

Implementation code of the paper "Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation"

Few-shot_Learning_Papers

A summarization of Few-shot Learning approaches for Computer Vision tasks, including image classification, object detection, and object segmentation. Keep updated frequently.

Machine-Learning-Coursera

TFormer-inpainting

Implementation code of T-former: An Efficient Transformer for Image Inpainting (ACM MultiMedia 2022)

Jupyter Notebook

Resources

My resources for doing research

Co_PSL_unofficial

Jupyter Notebook

Competitive-Programing

My competitive programming codes from Codeforces, SPOJ, UVA,...

obsnet

Implementation code of the paper "Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation"

Headmap_and_Edges

Simple HeatMap with CNNs and Canny Edges from OpenCV