Hoseong Lee

A paper list of object detection using deep learning.

A curated reading list of deep learning object detection research papers from 2014 to 2020, with a visual timeline and a benchmark performance table comparing major methods.

A curated list of awesome anomaly detection resources

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

A simple PyTorch codebase for semantic segmentation using Cityscapes.

carrier of tricks for image classification tutorials using pytorch.

Automatic Mixed Precision Tutorials using pytorch. Based on PyTorch 1.6 Official Features, implement classification codebase using custom dataset.

Statistics and Visualization of acceptance rate, main keyword of CVPR 2021 accepted papers for the main Computer Vision conference (CVPR)

Statistics and Visualization of acceptance rate, main keyword of ICCV 2019 accepted papers for the main Computer Vision conference (ICCV)

Stochastic Weight Averaging Tutorials using pytorch.

Statistics and Visualization of acceptance rate, main keyword of CVPR 2020 accepted papers for the main Computer Vision conference (CVPR)

Simple Tutorials & Code Implementation of fast-style-transfer(Perceptual Losses for Real-Time Style Transfer and Super-Resolution, 2016 ECCV) using PyTorch.

Statistics and Visualization of acceptance rate, main keyword of NeurIPS 2020 accepted papers

Simple Code Implementation of "Xception" architecture using PyTorch.

Statistics and Visualization of acceptance rate, main keyword of CVPR 2023 accepted papers for the main Computer Vision conference (CVPR)

No description.

Simple Code Implementation of "PeleeNet" architecture in "Pelee Paper" using PyTorch.

Statistics and Visualization of acceptance rate, main keyword of NeurIPS 2019 accepted papers

Simple Code Implementation of "MobileNet" architecture using PyTorch.

Simple Code Implementation of "Shake-Shake Regularization using TensorFlow.

Simple Code Implementation of "DenseNet" architecture using PyTorch.

Statistics and Visualization of acceptance rate, main keyword of CVPR 2022 accepted papers for the main Computer Vision conference (CVPR)

Statistics and Visualization of acceptance rate, main keyword of AAAI 2020 accepted papers

Korean translation of machine learning yearning book by Andrew Ng.

A code list of practice using PyTorch

No description.

A simple method to perform semi-supervised learning with limited data.

Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface

Training library for local feature detection and matching

mixup: Beyond Empirical Risk Minimization

Simple Code Implementation of "Partial Convolution based Padding" with ResNet architecture using PyTorch.