FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation

8 Dec 2016Judy HoffmanDequan WangFisher YuTrevor Darrell

Fully convolutional models for dense prediction have proven successful for a wide range of visual tasks. Such models perform well in a supervised setting, but performance can be surprisingly poor under domain shifts that appear mild to a human observer... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Synthetic-to-Real Translation GTAV-to-Cityscapes Labels FCNs in the wild mIoU 27.1 # 24
Image-to-Image Translation SYNTHIA Fall-to-Winter FCNs in the wild mIoU 59.6 # 2
Image-to-Image Translation SYNTHIA-to-Cityscapes FCNs in the wild mIoU 20.2 # 14