Search Results for author:
Found 1 papers, 0 papers with code
The devil is in the labels: Semantic segmentation from sentences
The resulting merged semantic segmentation dataset of over 2 Million images enables training a model that achieves performance equal to that of state-of-the-art supervised methods on 7 benchmark datasets, despite not using any images therefrom.
Ranked #1 on
Semantic Segmentation
on WildDash
Cannot find the paper you are looking for? You can
Submit a new open access paper.
