Tetris decomposes stationary videos into tile polyominoes and applies classifier plus ILP pruning to cut detector calls, staying within 5% accuracy loss while delivering up to 17.4x throughput gains over priors.
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Pith papers citing it
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2026 2verdicts
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Query-centric AQP and proxy-model strategies reduce expensive model calls by 60-90% with under 10% error on TPC-DS and LLM tasks.
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Tetris: Tile-level Sampling for Efficient and High-Fidelity Video Object Tracking
Tetris decomposes stationary videos into tile polyominoes and applies classifier plus ILP pruning to cut detector calls, staying within 5% accuracy loss while delivering up to 17.4x throughput gains over priors.