Kang Zhou's repositories
awesome-anomaly-detection-in-medical-images
Awesome anomaly detection in medical images
P_Net_Anomaly_Detection
This is the implementation of our paper in ECCV 2020.
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"
ano_pred_cvpr2018
Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
caffe-video_triplet
Unsupervised Learning using Videos (ICCV 2015)
CVPR2020-Paper-Code-Interpretation
cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理
grokking_algorithms
Code for the book Grokking Algorithms (http://manning.com/bhargava)
interpretable-research
I collected some papers about interpretable CNN and reorganized them here.
itisnotsound
Static blog, based on Hexo and Nuna theme.
models
Models and examples built with TensorFlow
PEBAL
[ECCV'22 Oral] Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
pytorch-beginner
pytorch tutorial for beginners
pytorch-classification
Classification with PyTorch.
Pytorch-UNet
Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
RCNN
implementations of Recurrent Convolutional Neural Network for object recognition
SimPLE
Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"
slic-python-implementation
🖼The python implementation to make superpixels by slic.
vq-vae-2-pytorch
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch