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Beihang University
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A novel zero-parameter gating mechanism boosts UAV video segmentation performance by over 4% while maintaining temporal stability.
LLM-generated test suites are shockingly bad at catching even simple code mutations, with even the best models failing to detect over 60% of them.
By strategically dropping "anchor" Gaussians and their neighbors, DropAnSH-GS overcomes the limitations of naive dropout in 3D Gaussian Splatting, leading to more robust and globally informed scene representations under sparse-view conditions.
