ALIGN has a simple dual-encoder architecture trained on image and text pairs, learned via a contrastive loss function. ALIGN's "noisy" training corpus is notable for balancing scale and robustness. Previously, visual language representational learning had been trained on large-scale datasets with ...
ALIGN has a simple dual-encoder architecture trained on image and text pairs, learned via a contrastive loss function. ALIGN's "noisy" training corpus is notable for balancing scale and robustness. Previously, visual language representational learning had been trained on large-scale datasets with ...
ALIGN has a simple dual-encoder architecture trained on image and text pairs, learned via a contrastive loss function. ALIGN's "noisy" training corpus is notable for balancing scale and robustness. Previously, visual language representational learning had been trained on large-scale datasets with ...