Hoseong Lee

deep_learning_object_detection. A paper list of object detection using deep learning.

awesome-anomaly-detection. A curated list of awesome anomaly detection resources

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

semantic-segmentation-tutorial-pytorch. A simple PyTorch codebase for semantic segmentation using Cityscapes.

carrier-of-tricks-for-classification-pytorch. carrier of tricks for image classification tutorials using pytorch.

automatic-mixed-precision-tutorials-pytorch. Automatic Mixed Precision Tutorials using pytorch. Based on PyTorch 1.6 Official Features, implement classification codebase using custom dataset.

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

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

swa-tutorials-pytorch. Stochastic Weight Averaging Tutorials using pytorch.

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

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

pytorch-Xception. Simple Code Implementation of "Xception" architecture using PyTorch.

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

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

hoya012.github.io. CSS

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

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

pytorch-MobileNet. Simple Code Implementation of "MobileNet" architecture using PyTorch.

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

pytorch-densenet. Simple Code Implementation of "DenseNet" architecture using PyTorch.

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

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

Machine-Learning-Yearning-Korean-Translation. Korean translation of machine learning yearning book by Andrew Ng.

pytorch_practice. A code list of practice using PyTorch

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

hoya012.