| They should be training on ferret: >> We introduce Ferret, a new Multimodal Large Language Model (MLLM) capable of understanding spatial referring of any shape or granularity within an image and accurately grounding open-vocabulary descriptions. To unify referring and grounding in the LLM paradigm, Ferret employs a novel and powerful hybrid region representation that integrates discrete coordinates and continuous features jointly to represent a region in the image. To extract the continuous features of versatile regions, we propose a spatial-aware visual sampler, adept at handling varying sparsity across different shapes. Consequently, Ferret can accept diverse region inputs, such as points, bounding boxes, and free-form shapes. To bolster the desired capability of Ferret, we curate GRIT, a comprehensive refer-and-ground instruction tuning dataset including 1.1M samples that contain rich hierarchical spatial knowledge, with 95K hard negative data to promote model robustness. The resulting model not only achieves superior performance in classical referring and grounding tasks, but also greatly outperforms existing MLLMs in region-based and localization-demanded multimodal chatting. Our evaluations also reveal a significantly improved capability of describing image details and a remarkable alleviation in object hallucination. - Whereby, I surmise This will make Drone-based AI image context for behavior extremely powerful - especially when aspects of that MLLM handling for spatial-sitrep extremely precise for autonomous movement, then ultimately for decision making WRT interacting with humans (positive interactions and negative interactions). Is it just me, or doesnt this MLLM seem particularly useful for flying objects with vision? however the more that I think about it, it seems like reservoirs can be applied to more than just "situational reactionary "dejaVu" which is what I think they are getting at (think LUCY where she ODs on a neurotropic and suddenly knows martial arts) (Also, lucy is a remake of Lawnmower Man if you hadnt noticed. but i like the idea of reservoirs as an ability to know which gpt agent can work well together to solve to an outcome based on the weaving of other GPTs together to have a tapestry with similar relationships. Forgot, wanted to add https://imgur.com/gallery/bRCfnFv The logo for the new DHS' 'Department of Entangled Agent Technologies and Humanity' :-) |