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Martin Viewegger

Viewegger
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new activity 3 days ago
nari-labs/Dia-1.6B:Are you going to release the training code as well (either pretraining or training from scratch)?
new activity 3 days ago
nari-labs/Dia-1.6B:Multiple languages support
reacted to merve's post with 🔥 4 days ago
New foundation model on image and video captioning just dropped by NVIDIA AI 🔥 Describe Anything Model (DAM) is a 3B vision language model to generate detailed captions with localized references 😮 The team released the models, the dataset, a new benchmark and a demo 🤩 https://huggingface.co/collections/nvidia/describe-anything-680825bb8f5e41ff0785834c Most of the vision LMs focus on image as a whole, lacking localized references in captions, and not taking in visual prompts (points, boxes, drawings around objects) DAM addresses this on two levels: new vision backbone that takes in focal crops and the image itself, and a large scale dataset 👀 They generate a dataset by extending existing segmentation and referring expression generation datasets like REFCOCO, by passing in the images and classes to VLMs and generating captions. Lastly, they also release a new benchmark again with self-supervision, they use an LLM to evaluate the detailed captions focusing on localization 👏
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Viewegger's activity

upvoted a paper 6 months ago
upvoted an article 7 months ago
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Article

Fine-tuning LLMs to 1.58bit: extreme quantization made easy

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upvoted a paper 8 months ago
upvoted 7 papers over 1 year ago