Matej Grcić | DeepAI

DeepAI AI Chat

Featured Co-authors

Siniša Šegvić
30 publications
Petra Bevandić
12 publications
Josip Šarić
8 publications
Ivan Grubišić
6 publications
Zoran Kalafatić
2 publications
Anja Delić
1 publication

∙ 05/24/2023

Real time dense anomaly detection by learning on synthetic negative data

Most approaches to dense anomaly detection rely on generative modeling o...

0 Anja Delić, et al. ∙

∙ 01/19/2023

Hybrid Open-set Segmentation with Synthetic Negative Data

Open-set segmentation is often conceived by complementing closed-set cla...

0 Matej Grcić, et al. ∙

∙ 01/09/2023

On advantages of Mask-level Recognition for Open-set Segmentation in the Wild

Most dense recognition methods bring a separate decision in each particu...

0 Matej Grcić, et al. ∙

∙ 07/06/2022

DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition

Anomaly detection can be conceived either through generative modelling o...

0 Matej Grcić, et al. ∙

∙ 12/23/2021

Dense anomaly detection by robust learning on synthetic negative data

Standard machine learning is unable to accommodate inputs which do not b...

106 Matej Grcić, et al. ∙

∙ 06/08/2021

Densely connected normalizing flows

Normalizing flows are bijective mappings between inputs and latent repre...

0 Matej Grcić, et al. ∙

∙ 11/22/2020

Dense open-set recognition with synthetic outliers generated by Real NVP

Today's deep models are often unable to detect inputs which do not belon...

0 Matej Grcić, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world