wuioan

elsarticle

Elsevier template 'elsarticle'.

CaPTk

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

cross-domain-segmentation-TSNE

This code is for cross-domain segmentation tasks, which can plot T-sne of domains and classes

ADVENT

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

MSCDA

MemNN

Memory Networks implementations

MNAD

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

memae-anomaly-detection

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

memAE

unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Anomaly Detection

AdaptSegNet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

CLAN

( TPAMI2022 / CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

AdaBoost_Seg

TIP2022 Adaptive Boosting (AdaBoost) for Domain Adaptation ? :woman_shrugging: Why not ! :ok_woman:

Improving_Unsupervised_Defect_Segmentation

This is Keras code from "Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders".

P-Net_Mvtec_AD

Main P-Net(ECCV 2020) on Mvtec dataset

RegAD

[ECCV2022 Oral] Registration based Few-Shot Anomaly Detection

P_Net_Anomaly_Detection

This is the implementation of our paper in ECCV 2020.

GoodsAD

[IEEE RA-L 2024] PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly (Defect) Detection and Segmentation

Unsupervised-Defect-Segmentation

Unsupervised-Defect-Segmentation anomaly detection

cityscapesScripts

README and scripts for the Cityscapes Dataset

DFR

Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction

LaTeX-OCR

pix2tex: Using a ViT to convert images of equations into LaTeX code.

Overall_survival_prediction

Surface-Defect-Detection

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

probabilistic_segmentation

Seg-Uncertainty

IJCAI2020 & IJCV2021 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo

SAML

[MICCAI'20] Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains & A Well-organized Multi-site Dataset

DANN

pytorch implementation of Domain-Adversarial Training of Neural Networks

models-for-tensorflow2-keras

my models for tensorflow2::keras, e.g., Gradient Reversal Layer, SE_ResNeXt1D, etc.

LIVECell

prostateMR_3D-CAD-csPCa

Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.