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Open World Fights,a carefully curated dataset featuring a variety of scenarios and contexts to serve as a strong benchmark for evaluating generalization capabilities.

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AMP-OWF

Open World Fights,a carefully curated dataset featuring a variety of scenarios and contexts to serve as a strong benchmark for evaluating generalization capabilities.

AMP: A robust model for detecting out-of-distribution violence, set to be published in the future.



AMP employs multimodal prior knowledge and specialized module design for effective out-of-distribution violence detection.

OWF Info

The OWF Dataset, collected from TikTok, includes 300 fight videos and 300 non-fight videos, each lasting 2 seconds.



OWF differs from existing datasets.

OWF Sample

Contains a variety of complex scenarios, examples are as follows:



OWF Download

https://drive.google.com/file/d/1rrcNHcst9GzmrtdDtJpMGi_rcspYkljf/view?usp=sharing

license

This framework is licensed under the Apache License (Version 2.0). Please visit the original resource page for models and datasets and adhere to the respective licenses.

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Open World Fights,a carefully curated dataset featuring a variety of scenarios and contexts to serve as a strong benchmark for evaluating generalization capabilities.

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