bethgelab Goto Github PK

robust-detection-benchmark

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

robust-vision-benchmark

Robust Vision Benchmark

robustness

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

siamese-mask-rcnn

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

slow_disentanglement

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

slurm-monitoring-public

Monitor your high performance infrastructure configured over slurm using TIG stack

stylize-datasets

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

testing_visualizations

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

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)

tools