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

Object Detection on AlphaDent (test)

77Abrasion ScoreDINO

Evaluation Results

Method	Links
DINO2026.04		77	44.3	76.2	24.1	12.2	4.4	1.5	23.9	3.4	30
DDQ DETR2026.04		76.6	44.8	76.9	25.5	11.9	6.1	0.7	24.3	2.7	29.9
Caries-DETR2026.04		76.1	45.2	76.6	24.5	10.4	5	0.5	23.7	11.3	30.4
DEIMv22026.04		75.4	33.8	74	15.5	9.3	2.6	17.8	17.4	0.6	27.4
Grounding DINO2026.04		74.9	41.3	65.3	25.2	9.4	5.5	0.9	17.8	2.9	27
RF-DETR2026.04		74.9	33.7	69.4	19.1	12.3	3.5	16.2	23.3	7	28.8
Co-DETR2026.04		74.8	47.2	76.9	24.9	11.4	4.6	0.5	24.8	4.3	29.9
YOLOv122026.04		74.6	39.6	65.8	19.7	12.2	1.8	15.3	20.4	9.6	28.8
DINO2026.04		74.2	39.7	66.2	21.1	9.1	1.9	1.8	20.3	0.4	27.2
DDQ DETR2026.04		73	41.8	63.7	21.3	10.1	4.7	0.1	20.7	1.1	26.3
CenterNet2026.04		72	39.1	61.4	20.7	7.8	4.1	0	19.5	0	25
Caries-DETR2026.04		71.7	39.4	76.5	20.2	9.4	4.7	20.9	18.8	7.6	29.9
FSAF2026.04		70.7	35.8	50.9	17.2	8.4	2.5	0	18.8	1.4	22.9
Dynamic R-CNN2026.04		70.7	35.3	64.8	17.2	8.2	1.8	0	16.6	0	23.9
DAB-DETR2026.04		70.6	31.8	69.9	14.3	7.3	1.4	1.4	22.1	1.2	24.5
Co-DETR2026.04		70.1	42	71.9	21	11.5	5.6	0.2	20.4	0.3	27
Sparse R-CNN2026.04		69.5	32.2	48.8	13.7	8	0.7	0	15.4	0.7	21
Salience DETR2026.04		69.3	25.7	60.7	10.4	6.9	3.3	12	12.3	4.1	22.7
DDOD2026.04		69.1	37.4	53.8	18.4	10.1	2.6	0.4	19.3	0	23.5
TOOD2026.04		69	37.4	53.6	20.1	8.9	1.4	0.3	20.4	0.8	23.5
Conditional DETR2026.04		68.8	29.2	66.8	18.6	9.4	3.5	1.3	14.4	1.8	23.8
RetinaNet2026.04		68.6	33.4	43.7	19	6.8	2.7	0	20.8	1.7	21.9
YOLOF2026.04		67.6	23	47.9	10.9	5.8	1.5	0.4	12.3	1	18.9
Faster R-CNN2026.04		65.8	30.1	60.9	12	8.9	2.1	0	18.1	2.8	22.4
Mr.DETR2026.04		65.4	38.1	64	14.7	9.1	5.4	0.1	22.5	2.6	24.6
Grid R-CNN2026.04		64.4	30.8	62.3	13.7	4.9	1.4	0	15	0.9	21.5
Cascade R-CNN2026.04		62.9	32	61	12.1	5.4	2.3	0	14.2	2.1	21.7
Deformable DETR2026.04		60.2	34.8	60.7	16.5	7.5	2.5	0.1	17.5	1.6	23.7
DETR2026.04		57.5	19.8	51.9	5.1	4.7	0.7	0	8.3	0	17