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Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation

AAAI 2020 · Detection and segmentation › Open-set and few-shot detection · approach: Open-vocabulary semantic segmentation · 42 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add auxiliary coherence objective (ablation)TLT-TS · Wiki-727KPk error: 19.41 -> 15.95Helped
add auxiliary coherence objective (ablation)TLT-TS · Wiki-50Pk error: 17.47 -> 16.53Helped
add auxiliary coherence objective (ablation)TLT-TS · ChoiPk error: 23.26 -> 18.50Helped
add auxiliary coherence objective (ablation)TLT-TS · CitiesPk error: 19.21 -> 16.85Helped
add auxiliary coherence objective (ablation)TLT-TS · ElementsPk error: 20.33 -> 18.41Helped
add auxiliary coherence objective (ablation)TLT-TS · Wiki-50-CS zero-shotPk error: 24.27 -> 22.32Helped
add auxiliary coherence objective (ablation)TLT-TS · Wiki-50-FI zero-shotPk error: 25.99 -> 22.87Helped
add auxiliary coherence objective (ablation)TLT-TS · Wiki-50-TR zero-shotPk error: 25.89 -> 24.20Helped
replace BiLSTM hierarchy with two-level TransformerTLT-TS · ElementsPk error: 41.63 -> 20.33Helped
supervised CATS vs unsupervised GraphSegCATS · ChoiPk error: 18.50 vs 5.6--7.2Hurt

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