Meta's Web-SSL Challenges Language-Supervised Visual Learning

Meta's recent release of the Web-SSL family of models has sparked a debate in the AI community about the necessity of language supervision for achieving strong visual representation learning. By scaling up vision-only models, Web-SSL demonstrates competitive performance on multimodal and classic vision tasks, challenging the dominance of language-supervised approaches like CLIP.