Object Detection on MSAR AP'07 protocol (test) benchmark leaderboard · SOTA2 Research

Object Detection on MSAR AP'07 protocol (test)

69.9mAPDenoDet

Evaluation Results

Method	Links
DenoDet2024.06		69.9	89.4	47.87	78.92	63.41
AutoAssign2024.06		69.41	89.71	45.41	79.08	63.44
YOLOX2024.06		68.4	89.89	63.49	61.46	58.74
ATSS2024.06		68	88.85	44.06	75.73	63.37
FCOS2024.06		67.52	89.17	43.72	73.92	63.28
GFL2024.06		67.24	89.21	42.16	74.05	63.54
CenterNet2024.06		67.18	89.87	41.05	74.91	62.92
TOOD2024.06		66.58	89.04	42.78	71	63.49
VFNet2024.06		65.31	87.94	38.8	71.03	63.49
Deformable DETR2024.06		65.02	89.96	32.99	70.28	66.83
PAA2024.06		63.37	90.29	22.63	77.01	63.55
DDOD2024.06		60.8	86.59	63.16	71.42	22.04
LSKNet2024.06		58.13	81.31	63.61	78.51	9.09
ConvNeXt2024.06		56.52	81.34	63.57	72.07	9.09
ConvNeXt V22024.06		56.38	81.36	63.59	71.48	9.09
Grid RCNN2024.06		55.82	80.85	9.09	69.89	63.47
Faster RCNN2024.06		55.69	80.5	9.09	69.7	63.47
RepPoints2024.06		49.25	77.98	9.09	51.13	58.81
YOLOF2024.06		46.39	69.39	9.09	58.81	48.25
DAB-DETR2024.06		43.88	80.25	3.47	52.2	39.61
Conditional DETR2024.06		42.26	78.63	9.8	54.13	26.47
RetinaNet2024.06		33.71	63.63	0.88	23.47	46.84
PVT-T2024.06		29.72	58.88	10.14	11.53	38.34
DETR2024.06		8.89	13.39	1.26	6.7	14.21