Pinned Repositories
ano_pred_cvpr2018
Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
awesome-anomaly-detection-in-medical-images
Awesome anomaly detection in medical images
bolt
Bolt is a deep learning library with high performance and heterogeneous flexibility.
caffe-video_triplet
Unsupervised Learning using Videos (ICCV 2015)
charleskangzhou.github.io
CVPR2020-Paper-Code-Interpretation
cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理
kaggle_DR_image_quality_miccai2018_workshop
The funds image quality label is provided by iMed (homepage: http://imed.nimte.ac.cn/ ; http://imed.nimte.ac.cn/aboutus.html)
MNet_DeepCDR
Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"
P_Net_Anomaly_Detection
This is the implementation of our paper in ECCV 2020.
MICCAI19-Ki-GAN
CharlesKangZhou's Repositories
CharlesKangZhou/awesome-anomaly-detection-in-medical-images
Awesome anomaly detection in medical images
CharlesKangZhou/P_Net_Anomaly_Detection
This is the implementation of our paper in ECCV 2020.
CharlesKangZhou/kaggle_DR_image_quality_miccai2018_workshop
The funds image quality label is provided by iMed (homepage: http://imed.nimte.ac.cn/ ; http://imed.nimte.ac.cn/aboutus.html)
CharlesKangZhou/MNet_DeepCDR
Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"
CharlesKangZhou/ano_pred_cvpr2018
Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
CharlesKangZhou/bolt
Bolt is a deep learning library with high performance and heterogeneous flexibility.
CharlesKangZhou/caffe-video_triplet
Unsupervised Learning using Videos (ICCV 2015)
CharlesKangZhou/charleskangzhou.github.io
CharlesKangZhou/CVPR2020-Paper-Code-Interpretation
cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理
CharlesKangZhou/grokking_algorithms
Code for the book Grokking Algorithms (http://manning.com/bhargava)
CharlesKangZhou/IDRiD
CharlesKangZhou/interpretable-research
I collected some papers about interpretable CNN and reorganized them here.
CharlesKangZhou/itisnotsound
Static blog, based on Hexo and Nuna theme.
CharlesKangZhou/medical_image_classification
CharlesKangZhou/models
Models and examples built with TensorFlow
CharlesKangZhou/PEBAL
[ECCV'22 Oral] Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
CharlesKangZhou/pytorch-beginner
pytorch tutorial for beginners
CharlesKangZhou/pytorch-classification
Classification with PyTorch.
CharlesKangZhou/Pytorch-UNet
Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
CharlesKangZhou/RCNN
implementations of Recurrent Convolutional Neural Network for object recognition
CharlesKangZhou/SimPLE
Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"
CharlesKangZhou/slic-python-implementation
🖼The python implementation to make superpixels by slic.
CharlesKangZhou/vq-vae-2-pytorch
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch