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Head-Free Lightweight Semantic Segmentation with Linear Transformer

AAAI 2023 · Architectures and efficiency › Attention and transformers · approach: Efficient and robust vision transformers · 109 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
replace Segformer with AFFormer-basesemantic segmentation · ADE20KmIoU: 37.4 -> 41.8Helped
replace Segformer with AFFormer-basesemantic segmentation · Cityscapes valmIoU: 76.2 -> 78.7Helped
use AFFormer-base instead of lightweight segmentation baselinessemantic segmentation · COCO-stuffmIoU: 31.5 -> 35.1Helped
add PD to PL-only structure (ablation)AFFormer-base · ADE20KmIoU: 39.2 -> 41.8Helped
add PL to PD-only structure (ablation)AFFormer-base · ADE20KmIoU: 19.5 -> 41.8Helped
use heterogeneous PD and PL rather than only PD (ablation)AFFormer-base · ADE20KmIoU: 27.4 -> 41.8Helped
use heterogeneous PD and PL rather than only PL (ablation)AFFormer-base · ADE20KmIoU: 41.6 -> 41.8No clear effect
add DHF to DLF-only frequency filtering (ablation)AFFormer-base · ADE20KmIoU: 38.7 -> 41.1Helped
add DHF to DLF-only frequency filtering (ablation)AFFormer-base · CityscapesmIoU: 75.7 -> 77.8Helped
add FSK to DLF + DHF (ablation)AFFormer-base · ADE20KmIoU: 41.1 -> 41.8Helped
add FSK to DLF + DHF (ablation)AFFormer-base · CityscapesmIoU: 77.8 -> 78.7Helped
add DLF to DHF + FSK (ablation)AFFormer-base · ADE20KmIoU: 41.2 -> 41.8Helped

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