3.5k citations · 9.4k across the 54 of their papers we have counts for
3 papers · 2 filters
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Judy Hoffman, Dequan Wang, Fisher Yu +1
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 su…
Clockwork Convnets for Video Semantic Segmentation
Evan Shelhamer, Kate Rakelly, Judy Hoffman +1
Recent years have seen tremendous progress in still-image segmentation; however the naïve application of these state-of-the-art algorithms to every video frame requires considerabl…
Fine-to-coarse Knowledge Transfer For Low-Res Image Classification
Xingchao Peng, Judy Hoffman, Stella X. Yu +1
We address the difficult problem of distinguishing fine-grained object categories in low resolution images. Wepropose a simple an effective deep learning approach that transfers fi…