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 2
This is the Stage 2 VideoSearch-R1 checkpoint trained for ActivityNet, presented in the paper VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement.
- Project Page: https://mlvlab.github.io/VideoSearch-R1/
- Repository: https://github.com/mlvlab/VideoSearch-R1
Stage 2 starts from the ActivityNet Stage 1 checkpoint and optimizes iterative retrieval and temporal grounding behavior with the VideoSearch-R1 training pipeline.
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-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}
}