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CueSpace
chelili/CueSpace
CueSpace is a machine learning model from chelili. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for cuespace. The card lists the license as mit.
Published test weights for CueSpace — Question-Guided Structured Cue Modeling and Adaptive Fusion for Audio-Visual Question Answering.
Access
Public
Updated Aug 6, 2026
Repo size
4.7 GB
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Repo makeup
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.pt4 GB · 100%
At a glance
- Library
- cuespace
- License
- mit
- Access
- Public
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026
- SHA
- af5a3539
Model card
From the Hugging Face model README
CueSpace Checkpoints
Published test weights for CueSpace — Question-Guided Structured Cue Modeling and Adaptive Fusion for Audio-Visual Question Answering.
Files
| File | Dataset | --dataset | Reported test accuracy |
|---|---|---|---|
mavqa.pt | MUSIC-AVQA | mavqa | 79.22% (7232/9129) |
mavqa_r.pt | MUSIC-AVQA-R | mavqa_r | same weights as mavqa.pt |
mavqa_v2_balance.pt | MAVQA-v2 balance | mavqa_v2 --v2-split balance | 78.49% |
mavqa_v2_bias.pt | MAVQA-v2 bias | mavqa_v2 --v2-split bias | 78.59% |
valor32k_mcq.pt | Valor32k-AVQA MCQ | valor32k | 63.03% |
avqa_mcq.pt | AVQA MCQ | avqa --mcq | 91.33% (15348/16805) |
Download
pip install -U huggingface_hub
hf download chelili/CueSpace --local-dir ./checkpoints
Usage (CueSpace repo)
git clone https://github.com/chelilia/Cuespace.git
cd CueSpace
pip install -r requirements.txt
# prepare data/ + ckpt/ (CLIP/AST) locally — see README
python test.py --dataset mavqa --weight ./checkpoints/mavqa.pt --gpu 0
python test.py --dataset valor32k --weight ./checkpoints/valor32k_mcq.pt --gpu 0
python test.py --dataset avqa --mcq --weight ./checkpoints/avqa_mcq.pt --gpu 0
Citation
@article{cuespace2026,
title={CueSpace: Question-Guided Structured Cue Modeling and Adaptive Fusion for Audio-Visual Question Answering},
author={...},
year={2026}
}
- Library
- cuespace
- License
- mit
- Created
- Aug 6, 2026
- Updated
- Aug 6, 2026