692 citations · 1.7k across the 18 of their papers we have counts for
3 papers · 1 filter
VisDA: The Visual Domain Adaptation Challenge
Xingchao Peng, Ben Usman, Neela Kaushik +3
We present the 2017 Visual Domain Adaptation (VisDA) dataset and challenge, a large-scale testbed for unsupervised domain adaptation across visual domains. Unsupervised domain adap…
Deep Layer Aggregation
Fisher Yu, Dequan Wang, Evan Shelhamer +1
Visual recognition requires rich representations that span levels from low to high, scales from small to large, and resolutions from fine to coarse. Even with the depth of features…
Iterative Object and Part Transfer for Fine-Grained Recognition
Zhiqiang Shen, Yu-Gang Jiang, Dequan Wang +1
The aim of fine-grained recognition is to identify sub-ordinate categories in images like different species of birds. Existing works have confirmed that, in order to capture the su…