Bethge Lab

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

imagecorruptions

Python package to corrupt arbitrary images.

siamese-mask-rcnn

Siamese Mask R-CNN model for one-shot instance segmentation

model-vs-human

Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)

robust-detection-benchmark

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

stylize-datasets

A script that applies the AdaIN style transfer method to arbitrary datasets

robustness

Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.

openimages2coco

Convert Open Images annotations into MS Coco format to make it a drop in replacement

slow_disentanglement

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

AnalysisBySynthesis

Adversarially Robust Neural Network on MNIST.

game-of-noise

Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image corruptions"

InDomainGeneralizationBenchmark

slurm-monitoring-public

Monitor your high performance infrastructure configured over slurm using TIG stack

DataTypeIdentification

Code for the ICLR'24 paper: "Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models"

magapi-wrapper

Wrapper around Microsoft Academic Knowledge API to retrieve MAG data

testing_visualizations

Code for the paper " Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations"

docker-deeplearning

Development of new unified docker container (WIP)

notorious_difficulty_of_comparing_human_and_machine_perception

Code for the three case studies: Closed Contour Detection, Synthetic Visual Reasoning Test, Recognition Gap

tools

mmdetection

Fork of the MMDetection Toolbox containing the Robustness Benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (merged)

lifelong-benchmarks

Benchmarks introduced in the paper: "Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress"

sort-and-search

Code for the paper: "Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress"

cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

bwki-weekly-tasks

BWKI Task of the week

DeepLabCut

Markerless tracking of user-defined features with deep learning

defensive-distillation

foolbox-zoo-dummy

inference_results_v1.1

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)