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Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics

Summary: End-to-end DNN for visual analytics; preprocessing bottlenecks. SMOL: using native low-res data and a runtime that pipelines preprocessing and inference with CPU/GPU placement, memory threading, delivering up to 5.9× throughput at fixed accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12602
Venue
VLDB
Year
2021
Pagerank
7.2629834e-05
Overall Rank
3,293 | 77.10%
DOI
10.14778/3425879.3425881

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