Nov 11, 2023 · Monkey can handle higher resolutions up to 1344x896 pixels, enabling the detailed capture of complex visual information.
We introduce Monkey, a resource-efficient approach to increase input resolution within the Large Multimodal. Model frameworks. Compared to the approach of ...
You can download the training and testing data used by monkey from Monkey_Data. The json file used for Monkey training can be downloaded at Link. The data from ...
Monkey is introduced to enhance LMM capabilities and surpasses existing LMMs in many tasks like Image Captioning and various Visual Question Answering formats.
Monkey can handle higher resolutions up to 1344 × \times × 896 pixels, enabling the detailed capture of complex visual information.
Nov 11, 2023 · Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models. Published on Nov 11, 2023. Upvote. 3. Authors: Zhang ...
Sep 22, 2024 · Monkey: Image Resolution and Text Label are Important Things for Large Multi-Modal Models · No full-text available · Citations (20) · References ( ...
Monkey: Image Resolution and Text Label Are Important Things for LargeMulti-modal ... Monkeyincludes 7.7B parameters for a large language model, with90M ...
pashaprokaz/Monkey-4bit ; eval · eval ; finetune · finetune ; images · images ; monkey_model · monkey_model.
Aug 26, 2024 · The Monkey model effectively addresses the limitations of Large Multimodal Models (LMMs) in handling high-resolution input and detailed scene understanding.
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