Traditional Symbolic Object Classification on BTSC benchmark leaderboard · SOTA2 Research

Traditional Symbolic Object Classification on BTSC

0.9897AccuracySill-Net

Evaluation Results

Method	Links
Sill-Net2021.02		0.9897
CNN3ST2021.02		0.9887