Bethge Lab

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

bethgelab

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

bethgelab

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

bethgelab

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

bethgelab

Python package to corrupt arbitrary images.

bethgelab

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

bethgelab

NIPS Adversarial Vision Challenge

bethgelab

Adversarially Robust Neural Network on MNIST.

bethgelab

Blind source separation based on the probabilistic tensor factorisation framework

bethgelab

Information and scripts to run and develop the Bethge Lab Docker containers

bethgelab