Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows
Summary: MaskSearch formalizes and accelerates queries over model-generated image masks, enabling retrieval by mask properties to find spurious correlations and saliency/human-attention discrepancies. Includes an interactive GUI for fast, exploratory mask-centric ML workflows. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Lindsey Linxi Wei (University of Washington)
- 2. Chung Yik Edward Yeung (University of Washington)
- 3. Hongjian Yu (University of Washington)
- 4. Jingchuan Zhou (University of Washington)
- 5. Dong He (University of Washington)
- 6. Magdalena Balazinska (University of Washington)
BibTeX Citation
@article{wei_vldb24,
title = {{Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows}},
author = {Wei, Lindsey Linxi and Yeung, Chung Yik Edward and Yu, Hongjian and Zhou, Jingchuan and He, Dong and Balazinska, Magdalena},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4297--4300},
doi = {10.14778/3685800.3685859},
url = {https://doi.org/10.14778/3685800.3685859},
year = {2024}
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 353 | The Query By Image Content (QBIC) System | 1995 | SIGMOD | 0.00020370587 |
| 669 | The TileDB Array Data Storage Manager | 2017 | VLDB | 0.00015163245 |
| 6,427 | DeepBase: Deep Inspection of Neural Networks | 2019 | SIGMOD | 5.8808145e-05 |
| 6,960 | DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation | 2022 | VLDB | 5.7303405e-05 |
| 7,734 | Using VDMS to Index and Search 100M Images | 2021 | VLDB | 5.5563709e-05 |
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