Object Detection on Sim10k to Cityscapes (S2C) benchmark leaderboard · SOTA2 Research

Object Detection on Sim10k to Cityscapes (S2C)

71.2mAPRT-SFOD

Evaluation Results

Method	Links
RT-SFOD2026.06		71.2
SF-YOLO2026.06		69.8
Oracle2023.11		68.9
VFM2026.06		67.4
DA-Ada2024.10		67.3
DA-Ada2024.10		67.3
SEEN-DA2026.06		66.8
RT-SFOD2026.06		66.4
HT2024.10		65.5
HT2024.10		65.5
DATR2026.06		64.3
FRANCK2026.06		63.1
DA-Pro2024.10		62.9
DA-Pro2024.10		62.9
RT-SFOD2026.06		59.8
OADA2024.10		59.2
FALCON2026.06		58.8
DRU2026.06		58.7
CIGAR2024.10		58.5
CIGAR2024.10		58.5
D2-UDA2024.10		58.1
D2-UDA2024.10		58.1
PETS2023.11		57.8
CSDA2024.10		57.8
CSDA2024.10		57.8
PETS2026.06		57.8
SIGMA++2024.10		57.7
SIGMA++2024.10		57.7
SF-YOLO2026.06		57.7
YOLOv10L2026.06		56.5
NSA-UDA2024.10		56.3
NSA-UDA2024.10		56.3
Simple2026.06		55.4
SIGMA2024.10		53.7
YOLOv10M2026.06		53.5
SCAN2024.10		52.6
YOLOv10S2026.06		51.2
LPLD2026.06		49.4
SAD2024.10		49.2
CR-DA-DET2023.11		46.1
IRG2026.06		45.2
MEGA-CDA2023.11		44.8
MEGA2024.10		44.8
DSS2024.10		44.5
DDF2024.10		44.3
A2SFOD2023.11		44
IRG2023.11		43.2
SED2023.11		43.1
UMT2023.11		43.1
NL2023.11		43
HTCN2023.11		42.5
SED2023.11		42.3
AT-Faster2023.11		42.1
MAF2023.11		41.1
Source only2023.11		40.5
DA-Faster2024.10		38.2
DA-Faster2024.10		38.2