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didemo-stage2
VideoSearchR1/didemo-stage2
didemo-stage2 is a video-text-to-text model from VideoSearchR1. Use it for the video-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This is the Stage 2 VideoSearch-R1 checkpoint trained for DiDeMo, presented in the paper VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement.
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At a glance
- Task
- Video-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3_vl
- Access
- Public
- Created
- Jun 19, 2026
- Updated
- Jul 3, 2026
- SHA
- a576c160
Base models
Model card
From the Hugging Face model README
VideoSearch-R1 DiDeMo Stage 2
This is the Stage 2 VideoSearch-R1 checkpoint trained for DiDeMo, presented in the paper VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement.
- Project Page: mlvlab.github.io/VideoSearch-R1
- Repository: GitHub - mlvlab/VideoSearch-R1
Usage
Use with the VideoSearch-R1 codebase:
bash scripts/data_construct/download_preextracted_data.bash didemo
EVAL_GPUS=0 bash scripts/inference/inference.bash didemo --checkpoint VideoSearchR1/didemo-stage2
Citation
@inproceedings{lee2026videosearchr1,
title = {VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement},
author = {Lee, Seohyun and Choi, Seoung and Ko, Dohwan and Kim, Jongha and Kim, Hyunwoo J.},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2026}
}
- Task
- Video-Text-to-Text
- Library
- transformers
- Type
- qwen3_vl
- License
- apache-2.0
- Created
- Jun 19, 2026
- Updated
- Jul 3, 2026