Label-efficient and reliable semantic segmentation is essential for many...
In our framework, an object is made up of K distinct parts or units, and...
We propose Recognition as Part Composition (RPC), an image encoding appr...
Pre-training models on Imagenet or other massive datasets of real images...
Progress in machine learning is typically measured by training and testi...
Measuring similarity between two images often requires performing comple...
Visual domain adaptation involves learning to classify images from a tar...