groundingLMM

★ 969

vs

maro

★ 928

groundingLMM vs maro

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.; maro: MARO is a Reinforcement Learning as a Service (RaaS) platform designed for real-world resource optimization across various industrial domains. It offers simulation, RL, and distributed toolkits to facilitate the development and deployment of complex optimization solutions.