metadata
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 ActivityNet Stage 1
This is the Stage 1 VideoSearch-R1 checkpoint trained for ActivityNet, presented in the paper VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement.
- Project Page: mlvlab.github.io/VideoSearch-R1
- Repository: mlvlab/VideoSearch-R1
Stage 1 is trained from the Qwen3-VL base model on constructed video retrieval and temporal grounding supervision. It is intended as the initialization for Stage 2 training or as a released checkpoint for ablations.
Usage
Use with the VideoSearch-R1 codebase:
bash scripts/data_construct/download_preextracted_data.bash activitynet
EVAL_GPUS=0 bash scripts/inference/inference.bash activitynet --checkpoint VideoSearchR1/activitynet-stage1
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}
}