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e8655f6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | # ST-Evidence-7B
We propose **Evidence-Backed Video Question Answering** (E-VQA), a task where multimodal models are designed to jointly produce a semantic **textual answer** and associated spatiotemporal evidence. This evidence includes **temporal segments** and **dense, tracked object segmentation masklets**. A masklet is defined as a temporal sequence of object segmentation masks tracked over time.
Our model was fine-tuned from UniPixel, which is built upon QWen2.5-VL and SAM 2.1. UniPixel is a unified model designed to handle both video question answering and mask generation.
This was released for research purposes only, in support of the academic paper *Evidence-Backed Video Question Answering*.
## License
CC-BY-NC 4.0
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