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KOSMOS-2 is a Transformer-based causal language model and is trained using the next-word prediction task on a web-scale dataset of grounded image-text pairs GRIT.
Kosmos-2: Grounding Multimodal Large Language Models to the World. Contents. Checkpoints. Setup. Demo. GRIT: Large-Scale Training Corpus of Grounded Image-Text Pairs. Download Data. Evaluation. 1. Phrase grounding. 2. Referring expression comprehension. 3. Referring expression generation. 4.
kosmos-2. Groundbreaking multimodal model designed to understand and reason about visual elements in images. AI models generate responses and outputs based on complex algorithms and machine learning techniques, and those responses or outputs may be inaccurate, harmful, biased or indecent.
We introduce Kosmos-2, a Multimodal Large Language Model (MLLM), enabling new capabilities of perceiving object descriptions (e.g., bounding boxes) and grounding text to the visual world.
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28 cze 2023 · According to the research, Kosmos-2 is a language model that enables new capabilities of perceiving object descriptions (e.g., bounding boxes) and grounding text to the visual world. The researchers represented refer expressions as links in Markdown, i.e., “text span”, where object descriptions are sequences of location tokens.
