Object Detection on ADCOS (test) benchmark leaderboard · SOTA2 Research

Object Detection on ADCOS (test)

83.6AP (bbox)LEVIRDetNet

Evaluation Results

Method	Links
LEVIRDetNet2026.06		83.6	98.82	97.55
RTMDet2026.06		79.45	91.87	89.62
YOLOv12x2026.06		78.72	98.67	95.31
YOLOX2026.06		77.96	98.13	94.48
DEIMv22026.06		77.79	98.68	94.46
DEIMv22026.06		77.54	98.51	94.3
DEIM2026.06		77.46	97.77	94.46
DynamicVis-large2026.06		77.1	91.8	89.5
HrNet2026.06		76.73	92.03	90.5
DynamicVis-base2026.06		76.1	91.7	89
Faster R-CNN2026.06		72.39	98.92	89.65
DINO2026.06		70.72	96.17	87.71
SSD2026.06		70.53	95.5	85.37
Fast R-CNN2026.06		70.42	90.89	84.31
TridentNet2026.06		70.23	89.83	82.26
EfficientDet2026.06		68.95	90.77	82.27
FCOS2026.06		66.83	89.81	79.76
Deformable DETR2026.06		60.56	86.4	71.93
CenterNet2026.06		59.75	89.9	69.75
Sparse R-CNN2026.06		58.7	74.45	69.8
YOLOv32026.06		54.51	85.64	61.36
RetinaNet2026.06		53.25	80.46	62.92
YOLOF2026.06		47.14	74.16	55.05