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Johann Sawatzky

5 papers hereh-index 5287 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV5

identity via Semantic Scholar / OpenAlex

activity
20172019
most citedAdaptive Binarization for Weakly Supervised Affordance Segmentation

5 citations · 7 across the 3 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

cs.CV2019★ 2 cited

Discovering Latent Classes for Semi-Supervised Semantic Segmentation

Olga Zatsarynna, Johann Sawatzky, Juergen Gall

High annotation costs are a major bottleneck for the training of semantic segmentation systems. Therefore, methods working with less annotation effort are of special interest. This…

cs.CV2019

Harvesting Information from Captions for Weakly Supervised Semantic Segmentation

Johann Sawatzky, Debayan Banerjee, Juergen Gall

Since acquiring pixel-wise annotations for training convolutional neural networks for semantic image segmentation is time-consuming, weakly supervised approaches that only require…

cs.CV2019

What Object Should I Use? - Task Driven Object Detection

Johann Sawatzky, Yaser Souri, Christian Grund +1

When humans have to solve everyday tasks, they simply pick the objects that are most suitable. While the question which object should one use for a specific task sounds trivial for…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.