164 citations · 1.6k across the 90 of their papers we have counts for
3 papers · 2 filters
Universal Adversarial Training
Ali Shafahi, Mahyar Najibi, Zheng Xu +3
Standard adversarial attacks change the predicted class label of a selected image by adding specially tailored small perturbations to its pixels. In contrast, a universal perturbat…
Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation
Sohil Shah, Pallabi Ghosh, Larry S Davis +1
Many imaging tasks require global information about all pixels in an image. Conventional bottom-up classification networks globalize information by decreasing resolution; features…
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation
Zuxuan Wu, Xintong Han, Yen-Liang Lin +4
Harvesting dense pixel-level annotations to train deep neural networks for semantic segmentation is extremely expensive and unwieldy at scale. While learning from synthetic data wh…