confusezius Goto Github PK

carvana_image_masking_challenge

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

cellproliferationlogbook

Html, JQuery and Javascript-based Logbook for cell culturing

characterizing_generalization_in_deepmetriclearning

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

confusezius

confusezius.github.io

https://confusezius.github.io/

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.

dassl.pytorch

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

deep-metric-learning-baselines

PyTorch Implementation for Deep Metric Learning Pipelines

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

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.

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.

gitfolio

:octocat: personal website + blog for every github user

github-markdown-toc

Easy TOC creation for GitHub README.md

homepage

Homepage Karsten Roth

hyde

A brazen two-column theme for Jekyll.

hydejack-starter-kit

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.

languageguidance_for_dml

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

lasagnetheano_mediocre_segmentation

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

metaoptnet

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

metric-learning-divide-and-conquer

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

model_study_stream

nonisotropicproxydml

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

patchcore-inspection

platesmania_crawler

Python and PyMongo-Based Web Crawler for Platesmania.com

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

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.

s2sd

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

selfsupervised_learning

simulated_selfdriving_car

Self-driving car using the Udacity driving simulator