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Didemo Stage2

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.

ArtText modelBasismodellQwen/Qwen3-VL-4B-InstructVersionmodelBBewertung

Modellquelle

Art
Text model
Dateigröße
4,57 GB
Basismodell
Qwen/Qwen3-VL-4B-Instruct
Version
vmodel
Aktualisiert
11. Okt. 2026
Downloads
29
Quelle
Hugging Face

Quellenbeschreibung

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.

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}
}

Quellen

1 Quelle
Hugging FacePrimärVersion a576c16040c35a5ec71468c66ec7628e7db71997
huggingface.co/VideoSearchR1/didemo-stage2/tree/a576c16040c35a5ec71468c66ec7628e7db71997

Verifiziert 11. Okt.

Modellartefakte

1 Artefakt

model.safetensors

safetensors · 4,57 GB · SHA-256 0e59ba3e0433…7cff · Hugging Face

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Quellenauszüge

3 Auszüge

--- base_model: Qwen/Qwen3-VL-4B-Instruct library_name: transformers license: apache-2.0 pipeline_tag: video-text-to-text tags: - video-retrieval - temporal-grounding - videosearch-r1 --- # 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](https://huggingface.co/papers/2607.00446). - **Project Page:** [mlvlab.github.io/VideoSearch-R1](https://mlvlab.github.io/VideoSearch-R1/) - **Repository:** [GitHub - mlvlab/VideoSearch-R1](https://github.com/mlvlab/VideoSearch-R1) ## Usage Use with the VideoSearch-R1 codebase: ```bash bash scripts/data_construct/download_preextracted_data.bash didemo EVAL_GPUS=0 bash scripts/inference/inference.bash didemo --checkpoint VideoSearchR1/didemo-stage2 ``` ## Citation ```bibtex @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} } ```

Source context: 29 downloads · 2 likes · Pipeline video-text-to-text · Library transformers · Repo VideoSearchR1/didemo-stage2

Source context: 24 downloads · 1 likes · Pipeline video-text-to-text · Library transformers · Repo VideoSearchR1/didemo-stage2