groundingLMM vs XActions
groundingLMM: GLaMM (Grounding Large Multimodal Model) is an end-to-end trained LMM capable of generating natural language responses integrated with object segmentation masks, enabling visual grounding and versatile interaction with images at multiple granularity levels. It introduces the novel task of Grounded Conversation Generation (GCG), supports various downstream applications like referring expression segmentation and region-level captioning, and is underpinned by the large-scale GranD dataset.; XActions: XActions provides browser-to-browser automation for X/Twitter without requiring API keys or sketchy servers, allowing users to perform various tasks directly from their browser. It offers a free and open-source solution for humans, while also enabling AI agents to automate tasks via micropayments.
TL;DR
Interactive visual assistants that understand and respond to user queries about specific image regions.
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Side-by-Side Comparison
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