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Object Classification on ATI Lab-based Dataset 8 classes 1.0 (test)

100Accuracy (Teddy)L1
43.8458.427387.58Apr 15, 2026

Evaluation results

MethodLinks
L1Model Config=L1-L3, Sensing Strategy=Rule-based sensing (L1), Inference Path=L3 (local)2026.0410084981001478905877.8—
L1Model Config=L1-L3-L4, Sensing Strategy=Rule-based sensing (L1), Inference Path=L3-L4 (split)2026.0410080100983876907081.532.8
L1/L2Model Config=L1/L2-L3, Sensing Strategy=Rule-based + Learned adaptation (L1/L2), Inference Path=L3 (local)2026.0410094100922684846280.3—
Artificial Tripartite Intelligence (ATI)Model Config=L1/L2-L3-L4 (Ours), Sensing Strategy=Rule-based + Learned adaptation (L1/L2), Inference Path=L3-L4 (split)2026.041009210094629692688831.8
AEModel Config=AE-L4, Sensing Strategy=Auto-Exposure (AE), Inference Path=L4 (remote)2026.04942686187684868068.8100
EISModel Config=EIS-L4, Sensing Strategy=Electronic Image Stabilization (EIS), Inference Path=L4 (remote)2026.049448607610884651100
L1Model Config=L1-L4, Sensing Strategy=Rule-based sensing (L1), Inference Path=L4 (remote)2026.04905494369094929280.3100
L1/L2Model Config=L1/L2-L4, Sensing Strategy=Rule-based + Learned adaptation (L1/L2), Inference Path=L4 (remote)2026.04887496369290869482100
AEModel Config=AE-L3, Sensing Strategy=Auto-Exposure (AE), Inference Path=L3 (local), Local Backbone=EfficientNet-Lite02026.04843290941628342250—
AEModel Config=AE-L3-L4, Sensing Strategy=Auto-Exposure (AE), Inference Path=L3-L4 (split)2026.04843288882238443453.856
EISModel Config=EIS-L3-L4, Sensing Strategy=Electronic Image Stabilization (EIS), Inference Path=L3-L4 (split)2026.04480100244802185
EISModel Config=EIS-L3, Sensing Strategy=Electronic Image Stabilization (EIS), Inference Path=L3 (local)2026.044601000028020—