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Semantic Segmentation
벤치마크
Semantic Segmentation on
Dark Zurich
28개 결과 ·
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mIoU
34.5
41.85
49.2
56.55
63.9
2019-01
2026-09
GCMA — 42.0 (2019-01-17)
GCMA — 42.0 (2019-01-17)
MGCDA — 42.5 (2020-05-28)
MGCDA — 42.5 (2020-05-28)
DANNet (DeepLab v2 ResNet-101) — 42.5 (2021-04-22)
DANNet — 36.76 (2021-04-22)
DANNet (DeepLab v2 ResNet-101) — 42.5 (2021-04-22)
DANNet — 36.76 (2021-04-22)
CIConv — 34.5 (2021-08-11)
CIConv — 34.5 (2021-08-11)
DAFormer — 53.8 (2021-11-29)
DAFormer — 53.8 (2021-11-29)
SePiCo — 54.2 (2022-04-19)
SePiCo (DeepLab v2 ResNet-101) — 45.4 (2022-04-19)
SePiCo — 54.2 (2022-04-19)
SePiCo (DeepLab v2 ResNet-101) — 45.4 (2022-04-19)
HRDA — 55.9 (2022-04-27)
HRDA — 55.9 (2022-04-27)
Refign (HRDA) — 63.9 (2022-07-14)
Refign (DAFormer) — 56.2 (2022-07-14)
Refign (HRDA) — 63.9 (2022-07-14)
Refign (DAFormer) — 56.2 (2022-07-14)
GPS-GLASS — 46.4 (2022-07-27)
GPS-GLASS — 46.4 (2022-07-27)
MIC — 60.2 (2022-12-02)
MIC — 60.2 (2022-12-02)
CoDA — 61.2 (2024-03-26)
CoDA — 61.2 (2024-03-26)
GCMA — 42.0 (2019-01-17)
MGCDA — 42.5 (2020-05-28)
DAFormer — 53.8 (2021-11-29)
SePiCo — 54.2 (2022-04-19)
HRDA — 55.9 (2022-04-27)
Refign (HRDA) — 63.9 (2022-07-14)
2019-01-17 — GCMA: mIoU 42.0
2020-05-28 — MGCDA: mIoU 42.5
2021-11-29 — DAFormer: mIoU 53.8
2022-04-19 — SePiCo: mIoU 54.2
2022-04-27 — HRDA: mIoU 55.9
2022-07-14 — Refign (HRDA): mIoU 63.9
Rank
Model
mIoU
Paper
Code
Year
1
Refign (HRDA)
63.9
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions
brdav/refign
2022
2
CoDA
61.2
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning
Cuzyoung/CoDA
2024
3
MIC
60.2
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
lhoyer/mic
2022
4
Refign (DAFormer)
56.2
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions
brdav/refign
2022
5
HRDA
55.9
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
lhoyer/hrda
2022
6
SePiCo
54.2
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
bit-da/sepico
2022
7
DAFormer
53.8
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
lhoyer/DAFormer
·
dbash/visda2022-org
·
kw01sg/crda
2021
8
GPS-GLASS
46.4
GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS data
jimmy9704/gps-glass
2022
9
SePiCo (DeepLab v2 ResNet-101)
45.4
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation
bit-da/sepico
2022
10
MGCDA
42.5
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation
sakaridis/MGCDA
2020
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