Public Resources: Content Sets and Software
Content Sets
Software
-
Exploiting Semantic Segmentation To Boost Reinforcement Learning In Video Game Environments
Pytorch implementation of our paper:
Javier Montalvo, Álvaro García-Martín, and Jesus Bescós, “Exploiting Semantic Segmentation to Boost Reinforcement Learning in Video Game Environments”. Multimedia Tools and Applications, 82, 10961–10979, March 2023.
Electronic ISSN 1573-7721, Print ISSN 1380-7501.
DOI 10.1007/s11042-022-13695-1
-
On exploring weakly supervised domain adaptation strategies for semantic segmentation using synthetic data
Pytorch implementation of our paper:
Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, and Alvaro Garcia-Martin, “On exploring weakly supervised domain adaptation strategies for semantic segmentation using synthetic data”. Multimedia Tools and Applications, Online 11 March 2023.
Electronic ISSN 1573-7721, Print ISSN 1380-7501.
DOI 10.1007/s11042-023-14662-0
Last update 17/03/2023