Karsten Roth (Confusezius)

Confusezius

Geek Repo

Company:University of Tuebingen

Location:Tuebingen

Home Page:karroth.com

Twitter:@confusezius

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Karsten Roth's repositories

Deep-Metric-Learning-Baselines

PyTorch Implementation for Deep Metric Learning Pipelines

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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.

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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.

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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.

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cellproliferationlogbook

Html, JQuery and Javascript-based Logbook for cell culturing

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metric-learning-divide-and-conquer

Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019

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confusezius.github.io

https://confusezius.github.io/

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Dassl.pytorch

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

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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

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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.

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gitfolio

:octocat: personal website + blog for every github user

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github-markdown-toc

Easy TOC creation for GitHub README.md

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homepage

Homepage Karsten Roth

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hyde

A brazen two-column theme for Jekyll.

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LanguageGuidance_for_DML

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

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MetaOptNet

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

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NonIsotropicProxyDML

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

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pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

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S2SD

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

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Structured-Diffusion-Guidance

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

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WaffleCLIPV2

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

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yapf

A formatter for Python files

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