output
20052026
most citedUnsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

6.9k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2022 · cs.CVShow all

2 papers · 2 filters

cs.CV2022★ 7 cited

Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation

Javed Iqbal, Hamza Rawal, Rehan Hafiz +2

This paper proposes a novel pixel-level distribution regularization scheme (DRSL) for self-supervised domain adaptation of semantic segmentation. In a typical setting, the classifi…

cs.CV2022★ 14 cited

Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentation

Fabio Cermelli, Massimiliano Mancini, Samuel Rota Buló +2

Deep neural networks have enabled major progresses in semantic segmentation. However, even the most advanced neural architectures suffer from important limitations. First, they are…