Karsten Roth

Deep-Metric-Learning-Baselines. PyTorch Implementation for Deep Metric Learning Pipelines

Revisiting_Deep_Metric_Learning_PyTorch. (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.

unet-lits-2d-pipeline. Liver Lesion Segmentation with 2D Unets

CVPR2020_PADS. (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet mining with Reinforcement Learning.

ICCV2019_MIC. (ICCV 2019) This repo contains code for "MIC: Mining Interclass Characteristics for Improved Metric Learning", which proposes an auxiliary training task to explain away intra-class variations.

ECCV2020_DiVA_MultiFeature_DML. (ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.13458), which extends vanilla DML with auxiliary and self-supervised features.

Characterizing_Generalization_in_DeepMetricLearning. Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.

selfsupervised_learning. Python

platesmania_crawler. Python and PyMongo-Based Web Crawler for Platesmania.com

model_study_stream. Python

Carvana_Image_Masking_Challenge. Straightforward top-5% Car Masking Pipeline for the Carvana Image Masking Challenge

Confusezius.

Simulated_SelfDriving_Car. Self-driving car using the Udacity driving simulator

WaffleCLIPV2. Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts"

cellproliferationlogbook. Html, JQuery and Javascript-based Logbook for cell culturing

NonIsotropicProxyDML. This repository contains the code for our CVPR 2022 paper on "Non-isotropy Regularization for Proxy-based Deep Metric Learning".

metric-learning-divide-and-conquer. Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019

S2SD. Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning

TripletNet_Training. Python

MetaOptNet. Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

gitfolio. :octocat: personal website + blog for every github user

confusezius.github.io. https://confusezius.github.io/

disent. 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

hydejack-starter-kit. HTML

LasagneTheano_Mediocre_Segmentation. Theano and Lasagne - based scripts to run 2D or 3D liver and lesion segmentation

pytorch-cnn-visualizations. Pytorch implementation of convolutional neural network visualization techniques

homepage. Homepage Karsten Roth

patchcore-inspection. Python

Dassl.pytorch. A PyTorch toolbox for domain adaptation and semi-supervised learning.

WeightTrackingApp. JavaScript

hyde. A brazen two-column theme for Jekyll.

yapf. A formatter for Python files

disentangling-correlated-factors. A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Disentanglement of Correlated Factors via Hausdorff Factorized Support" by Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt.

github-markdown-toc. Easy TOC creation for GitHub README.md

Structured-Diffusion-Guidance. Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

LanguageGuidance_for_DML. This repository contains the code for our CVPR 2022 paper on "Integrating Language Guidance into Vision-based Deep Metric Learning".