429 citations · 562 across the 18 of their papers we have counts for
3 papers · 1 filter
COCO-Stuff: Thing and Stuff Classes in Context
Holger Caesar, Jasper Uijlings, Vittorio Ferrari
Semantic classes can be either things (objects with a well-defined shape, e.g. car, person) or stuff (amorphous background regions, e.g. grass, sky). While lots of classification a…
Region-based semantic segmentation with end-to-end training
Holger Caesar, Jasper Uijlings, Vittorio Ferrari
We propose a novel method for semantic segmentation, the task of labeling each pixel in an image with a semantic class. Our method combines the advantages of the two main competing…
We don't need no bounding-boxes: Training object class detectors using only human verification
Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller +1
Training object class detectors typically requires a large set of images in which objects are annotated by bounding-boxes. However, manually drawing bounding-boxes is very time con…