A Team of AI Researchers Propose ‘GLIPv2’: a Unified Framework for (VL) Vision-Language Representation Learning that Serves Both Localization Tasks and VL Understanding Tasks

A Team of AI Researchers Propose ‘GLIPv2’: a Unified Framework for (VL) Vision-Language Representation Learning that Serves Both Localization Tasks and VL Understanding Tasks


🚀 Key Takeaways


✅ Grounded VL understanding model that serves both localization tasks and Vision-Language (VL) understanding tasks
✅ Unifies localization pre-training and Vision-Language Pre-training (VLP) with three pre-training tasks: phrase grounding as a VL reformulation of the detection task, region-word contrastive learning as a novel region-word level contrastive learning task, and the masked language modeling. …

ai computervision framework language learning localization representation representation learning researchers team understanding vision