Decision-FLIP: Budget-Free Structured Pruning for Gaussian Occupancy Models
arXiv:2610.20917v1 Announce Type: new Abstract: Occupancy predictors rely on large persistent banks of Gaussians or learned queries whose size is fixed by hand. Common pruning proxies, such as opacity, activation frequency, or parameter magnitude, do not measure whether removing a row changes the m…
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- 2026-10-16 04:00 · arXiv cs.CV
Decision-FLIP: Budget-Free Structured Pruning for Gaussian Occupancy Models