TY  - CONF
AU  - Alvarez-Gila, Aitor
AU  - van de Weijer, Joost
AU  - Wang, Yaxing
AU  - Garrote, Estibaliz
PY  - 2022
DO  - 10.1109/ICIP46576.2022.9897955
SN  - 9781665496209
SN  - 1522-4880
UR  - https://hdl.handle.net/11556/2498
AB  - We present MVMO (Multi-View, Multi-Object dataset): a synthetic dataset of 116, 000 scenes containing randomly placed objects of 10 distinct classes and captured from 25 camera locations in the upper hemisphere. MVMO comprises photorealistic,...
LA  - eng
PB  - IEEE Computer Society
TI  - MVMO: 												A MULTI-OBJECT DATASET FOR WIDE BASELINE MULTI-VIEW SEMANTIC SEGMENTATION
TY  - conference output
ER  -