| 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](https://huggingface.co/papers/2607.00446). | |
| - **Project Page:** [https://mlvlab.github.io/VideoSearch-R1/](https://mlvlab.github.io/VideoSearch-R1/) | |
| - **Repository:** [https://github.com/mlvlab/VideoSearch-R1](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 | |
| bash scripts/data_construct/download_preextracted_data.bash activitynet | |
| EVAL_GPUS=0 bash scripts/inference/inference.bash activitynet --checkpoint VideoSearchR1/activitynet-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} | |
| } | |
| ``` |