Out-of-distribution detection using the pNML regret. NeurIPS2021

Last update: Dec 02, 2022

Overview

OOD Detection

Load conda environment

conda env create -f environment.yml

or install requirements:

while read requirement; do conda install --yes $requirement || pip install $requirement; done < requirements.txt

# Download OOD data
cd bash_scripts
chmod 777 ./download_data.sh
./download_data.sh

# Download pretrained models
chmod 777 ./download_models.sh
./download_models.sh

Download imagenet30

Follow https://github.com/alinlab/CSI

Imagenet30 training set: https://drive.google.com/file/d/1B5c39Fc3haOPzlehzmpTLz6xLtGyKEy4/view

Imagenet30 testing set: https://drive.google.com/file/d/13xzVuQMEhSnBRZr-YaaO08coLU2dxAUq/view

Put and untar under ./data/Imagenet30

.
├── README.md
├── data
│   ├── Imagenet30
│   │   ├── one_class_test
│   │   ├── one_class_test.tar
│   │   ├── one_class_train
│   │   └── one_class_train.tar

Execute methods

Using the pretrained models, score ood detection

cd bash_scripts
chmod 777 ./execute_methods.sh
./execute_methods.sh

Create paper's tables

cd src
python main main_create_tables.py

Out-of-distribution detection using the pNML regret. NeurIPS2021

Related tags

Overview

OOD Detection

Download imagenet30

Execute methods

Owner

Koby Bibas

Repo for the paper "DiLBERT: Cheap Embeddings for Disease Related Medical NLP"

A Closer Look at Reference Learning for Fourier Phase Retrieval

MoCap-Solver: A Neural Solver for Optical Motion Capture Data

Systematic generalisation with group invariant predictions

Official PyTorch implementation of the paper "TEMOS: Generating diverse human motions from textual descriptions"

R-Drop: Regularized Dropout for Neural Networks

Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)

Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing

Realtime Face Anti Spoofing with Face Detector based on Deep Learning using Tensorflow/Keras and OpenCV

A GUI for Face Recognition, based upon Docker, Tkinter, GPU and a camera device.

Codes for paper "KNAS: Green Neural Architecture Search"

Official repo for BMVC2021 paper ASFormer: Transformer for Action Segmentation

Non-Homogeneous Poisson Process Intensity Modeling and Estimation using Measure Transport

A lane detection integrated Real-time Instance Segmentation based on YOLACT (You Only Look At CoefficienTs)

PyTorch package for the discrete VAE used for DALL·E.

Dynamical Wasserstein Barycenters for Time Series Modeling

Towards Implicit Text-Guided 3D Shape Generation (CVPR2022)

This is the source code of the 1st place solution for segmentation task (with Dice 90.32%) in 2021 CCF BDCI challenge.

Source code and data in paper "MDFEND: Multi-domain Fake News Detection (CIKM'21)"

An open-source project for applying deep learning to medical scenarios