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

BABEL: Bodies, Action and Behavior with English Labels [CVPR 2021]

Automatic caption evaluation metric based on typicality analysis.

Training DiffWave using variational method from Variational Diffusion Models.

Automated Attendance Project Using Face Recognition

Keras Image Embeddings using Contrastive Loss

Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation

A set of tools to pre-calibrate and calibrate (multi-focus) plenoptic cameras (e.g., a Raytrix R12) based on the libpleno.

modelvshuman is a Python library to benchmark the gap between human and machine vision

Dogs classification with Deep Metric Learning using some popular losses

Instance-wise Feature Importance in Time (FIT)

Code for NeurIPS2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints"

Knowledge Management for Humans using Machine Learning & Tags

Implementation of Deep Deterministic Policy Gradiet Algorithm in Tensorflow

Drone detection using YOLOv5

An self sufficient AI that crawls the web to learn how to generate art from keywords

IAUnet: Global Context-Aware Feature Learning for Person Re-Identification

Go from graph data to a secure and interactive visual graph app in 15 minutes. Batteries-included self-hosting of graph data apps with Streamlit, Graphistry, RAPIDS, and more!

Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation

Code for the Lovász-Softmax loss (CVPR 2018)

Easy-to-use library to boost AI inference leveraging state-of-the-art optimization techniques.