TL;DR of the paper, generated automatically.

Paper: two new training losses make Vision Transformers focus on image regions.

• Result: attention heads specialize in different regions, without labels.
• Gain: better zero-shot segmentation, outlining objects it wasn't trained on.
• Losses: one for small regions, one for what's visible when parts are masked.