Study of data scale, model complexity, and input modalities in visual generalization

Arxiv CS.CV (computer vision)

Analyzes how data amount, model size, and input types affect visual generalization performance. Experiments on multiple datasets quantify trade-offs between these factors.

computer-visiondeep-learning

Arxiv CS.CV (computer vision)·Luoyidi Zhou

7 days ago