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Weakly supervised training of universal visual concepts for multi-domain
  semantic segmentation

Weakly supervised training of universal visual concepts for multi-domain semantic segmentation

20 December 2022
Petra Bevandić
Marin Orsic
Ivan Grubišić
Josip Saric
Sinisa Segvic
ArXivPDFHTML

Papers citing "Weakly supervised training of universal visual concepts for multi-domain semantic segmentation"

3 / 3 papers shown
Title
Fine-grained Classes and How to Find Them
Fine-grained Classes and How to Find Them
Matej Grcić
Artyom Gadetsky
Maria Brbić
18
1
0
16 Jun 2024
Simple multi-dataset detection
Simple multi-dataset detection
Xingyi Zhou
V. Koltun
Philipp Krahenbuhl
ObjD
231
112
0
25 Feb 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
435
15,631
0
02 Nov 2015
1