The demo demonstrates how our embedding model works together with an AI agent to search for relevant videos based on user queries and generate responses using the retrieved video content.
Performance
Our model achieves
state-of-the-art (SOTA) performance
on the MultiVENT2.0 dataset in zero-shot settings. See the
official leaderboard
for detailed results.
Additionally, you can check our zero-shot performance on Tevatron2.0 in
this paper
.
Release Schedule
Coming Soon
Model checkpoints and agent prompts will be released shortly
Research paper will be published soon
license: cc-by-nc-4.0
Runs of NCSOFT VARCO-VISION-Embedding on huggingface.co
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