Pinned Repositories
imagecorruptions
Python package to corrupt arbitrary images.
model-vs-human
Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
fooling-feature-visualizations
Code for "Don't trust your eyes: on the (un)reliability of feature visualizations"
academic-cv-publications
Generate a customised list of publications for your LaTeX CV using BibTeX entries.
dataset-pruning-metrics
Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
generalisation-humans-DNNs
Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)
object-recognition
Data and materials from the paper "Comparing deep neural networks against humans: object recognition when the signal gets weaker" (arXiv 2017)
shortcut-perspective
Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)
Stylized-ImageNet
Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)
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)
rgeirhos's Repositories
rgeirhos/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)
rgeirhos/Stylized-ImageNet
Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)
rgeirhos/generalisation-humans-DNNs
Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)
rgeirhos/academic-cv-publications
Generate a customised list of publications for your LaTeX CV using BibTeX entries.
rgeirhos/shortcut-perspective
Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)
rgeirhos/dataset-pruning-metrics
Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
rgeirhos/object-recognition
Data and materials from the paper "Comparing deep neural networks against humans: object recognition when the signal gets weaker" (arXiv 2017)
rgeirhos/linux-sort-iCloud-photos
Script to sort photos from iCloud on Linux by date
rgeirhos/lucent
Lucid library adapted for PyTorch
rgeirhos/pytorch-lightning-vae
VAE for color images
rgeirhos/vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.