34 citations · 150 across the 65 of their papers we have counts for
3 papers · 1 filter
High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest
Nikolay Malkin, Caleb Robinson, Nebojsa Jojic
We present simple algorithms for land cover change detection in the 2021 IEEE GRSS Data Fusion Contest. The task of the contest is to create high-resolution (1m / pixel) land cover…
Mining self-similarity: Label super-resolution with epitomic representations
Nikolay Malkin, Anthony Ortiz, Caleb Robinson +1
We show that simple patch-based models, such as epitomes, can have superior performance to the current state of the art in semantic segmentation and label super-resolution, which u…
Label Super Resolution with Inter-Instance Loss
Maozheng Zhao, Le Hou, Han Le +8
For the task of semantic segmentation, high-resolution (pixel-level) ground truth is very expensive to collect, especially for high resolution images such as gigapixel pathology im…