Oriented Object Detection on SAT-MTB Our Settings Custom benchmark leaderboard · SOTA2 Research

Oriented Object Detection on SAT-MTB Our Settings Custom

87.5CATCL(Ours)

Evaluation Results

Method	Links
TCL(Ours)2026.06		87.5	0	90.1	0	81.7	0	86.9	88	11.9	9.1	71.2	45.4	47.7
ReDet(Baseline)2026.06		85.7	0	90.1	1.3	85	0.2	34.5	88.6	12.3	0	82	35	42.9
KLD2026.06		84.1	39.1	85.9	2.3	86.5	0	0.7	90	1.6	0.2	83.1	39.4	42.7
R3Det2026.06		74.2	51.9	88	0.1	82.5	0.1	2.2	91.2	0.7	0	81.6	36.5	42.4
SASM2026.06		72.1	4.4	84.7	0.2	82.4	7	2.8	53.4	10.6	9.4	81.9	42.7	37.6
Faster RCNN-OBB2026.06		70.7	0	89.3	0	83.6	0	20.5	90	11.2	1.5	77	50.4	41.2
Gliding Vertex2026.06		70.4	6.4	81.7	0	84.8	0	33.4	86.4	1.2	4.5	77.3	46.4	41.1
KFIoU2026.06		69	2.5	89.2	0.6	84.2	0	0	92.1	1.8	9.1	82.8	33.8	38.8
S2ANet2026.06		68.9	21.4	86.2	0.6	81.6	0	23.7	86.4	2.7	0.8	77.2	41.5	40.9
Oriented RCNN2026.06		66.5	0.1	81.8	0	85.6	0.3	34.6	82.3	1.2	9.1	78.2	45.5	40.4
ATSS-OBB2026.06		65.5	2.1	87.9	0	83	0	3.6	79.5	1.4	0	82.3	38.3	37
RoI Transformer2026.06		64	8.1	81.7	0	85.8	0	33.6	89	9.7	1.5	78.1	54	42.1
GWD2026.06		59.1	4.7	86.3	0.9	85	0	4	86.6	1.9	0	83.9	29.8	36.8
RepPoints-OBB2026.06		51.2	0.9	87.4	0.1	84.6	0	17.6	61.4	1.5	0	82.6	33.9	35.1
RetinaNet-OBB2026.06		45.4	29.7	90.2	9.6	82.9	0	4	87.9	1.6	0	78.2	33.6	38.6
FCOS-OBB2026.06		43	2.8	90.1	0	81	0	1.6	86.3	3.3	0	76.3	30.4	34.6