charleskangzhou Goto Github PK

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

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)

idrid

interpretable-research

I collected some papers about interpretable CNN and reorganized them here.

itisnotsound

Static blog, based on Hexo and Nuna theme.

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)

medical_image_classification

mnet_deepcdr

Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"

models

Models and examples built with TensorFlow

p_net_anomaly_detection

This is the implementation of our paper in ECCV 2020.

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