paper-with-me

Domain Adaptation 벤치마크

Domain Adaptation on SYNTHIA-to-Cityscapes

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mIoU

35.9 46.45 57 67.55 78.1 2018-11 2026-09 ADVENT (ResNet-101) — 41.2 (2018-11-30) PyCDA (ResNet-101) — 46.7 (2019-08-26) PyCDA (VGG-16) — 35.9 (2019-08-26) CD-AM (VGG-16) — 40.8 (2020-03-09) LDR (VGG-16) — 41.1 (2020-03-10) FDA (VGG-16) — 40.5 (2020-04-11) PIT (ResNet-101) — 44.0 (2020-06-01) PIT (VGG-16) — 38.1 (2020-06-01) RPT (ResNet-101) — 51.2 (2020-06-11) FADA (ResNet-101) — 45.2 (2020-07-17) FADA (VGG-16) — 39.5 (2020-07-17) IAST (ResNet-101) — 49.8 (2020-08-27) SA-I2I (VGG-16) — 41.5 (2020-09-02) CorDA (ResNet-101) — 55.0 (2021-04-28) SAC (ResNet-101) — 52.6 (2021-04-30) SAC (VGG-16) — 49.1 (2021-04-30) BiMaL — 46.2 (2021-08-06) GtA-SFDA (DeepLabv2-ResNet101) — 60.1 (2021-08-25) ProDA+CRA — 56.9 (2021-09-14) DAFormer — 60.9 (2021-11-29) SePiCo — 64.3 (2022-04-19) SePiCo (DeepLabv2-ResNet-101) — 58.1 (2022-04-19) DAFormer + ProCST — 61.6 (2022-04-25) HRDA — 65.8 (2022-04-27) HRDA+PiPa — 68.2 (2022-11-14) MIC — 67.3 (2022-12-02) ILM-ASSL — 76.6 (2023-01-31) STPL — 51.8 (2023-03-25) FREDOM - Transformer — 67.0 (2023-04-04) FREDOM - DeepLabV2 — 59.1 (2023-04-04) HALO — 78.1 (2023-06-19) DCF — 69.3 (2023-11-21) MIC + Guidance Training — 63.8 (2024-03-22) ADVENT (ResNet-101) — 41.2 (2018-11-30) PyCDA (ResNet-101) — 46.7 (2019-08-26) RPT (ResNet-101) — 51.2 (2020-06-11) CorDA (ResNet-101) — 55.0 (2021-04-28) GtA-SFDA (DeepLabv2-ResNet101) — 60.1 (2021-08-25) DAFormer — 60.9 (2021-11-29) SePiCo — 64.3 (2022-04-19) HRDA — 65.8 (2022-04-27) HRDA+PiPa — 68.2 (2022-11-14) ILM-ASSL — 76.6 (2023-01-31) HALO — 78.1 (2023-06-19)
RankModel mIoUExtra Manual Annotation PaperCodeYear
21 SAC (VGG-16) 49.1 Self-supervised Augmentation Consistency for Adapting Semantic Segmentation visinf/da-sac 2021
22 PyCDA (ResNet-101) 46.7 Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach lianqing11/pycda 2019
23 BiMaL 46.2 BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation uark-cviu/bimal 2021
24 FADA (ResNet-101) 45.2 Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation JDAI-CV/FADA 2020
25 PIT (ResNet-101) 44.0 Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer 2020
26 SA-I2I (VGG-16) 41.5 Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation 2020
27 ADVENT (ResNet-101) 41.2 ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation thuml/Transfer-Learning-Library · valeoai/ADVENT · yuan-zm/dgt-st · +1 2018
28 LDR (VGG-16) 41.1 Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation 2020
29 CD-AM (VGG-16) 40.8 Context-Aware Domain Adaptation in Semantic Segmentation 2020
30 FDA (VGG-16) 40.5 FDA: Fourier Domain Adaptation for Semantic Segmentation albumentations-team/albumentations · thuml/Transfer-Learning-Library · YanchaoYang/FDA 2020
31 FADA (VGG-16) 39.5 Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation JDAI-CV/FADA 2020
32 PIT (VGG-16) 38.1 Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer 2020
33 PyCDA (VGG-16) 35.9 Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach lianqing11/pycda 2019
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