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iFAN boosts segmentation accuracy by aligning query competition with mask quality, achieving significant performance gains without extra computational overhead.
Scanning every token to focus attention is now pass茅: HISA prunes irrelevant context blocks *before* token-level scoring, slashing compute without sacrificing selection fidelity.
