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# DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes
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This repository contains the details of the dataset and the Pytorch implementation of the Baseline Method CrossMOT of the Paper:
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---
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license: other
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viewer: false
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task_categories:
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- text-generation
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language:
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- en
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tags:
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- language-modeling
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- casual-lm
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- llm
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pretty_name: Dolma
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size_categories:
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- n>1T
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extra_gated_prompt: "Access to this dataset is automatically granted upon accepting the [**AI2 ImpACT License - Medium Risk Artifacts (“MR Agreement”)**](https://allenai.org/licenses/impact-mr) and completing all fields below."
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extra_gated_fields:
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Your full name: text
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Organization or entity you are affiliated with: text
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State or country you are located in: text
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Contact email: text
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Please describe your intended use of the medium risk artifact(s): text
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I AGREE to the terms and conditions of the MR Agreement above: checkbox
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I AGREE to AI2’s use of my information for legal notices and administrative matters: checkbox
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I CERTIFY that the information I have provided is true and accurate: checkbox
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---
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# DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes
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This repository contains the details of the dataset and the Pytorch implementation of the Baseline Method CrossMOT of the Paper:
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