Few-Shot Incremental Learning on CUB200 (test) benchmark leaderboard · SOTA2 Research

Few-Shot Incremental Learning on CUB200 (test)

0.7585Accuracy (S0)CEC

Evaluation Results

Method	Links
CEC2021.04		0.7585	0.7194	0.685	0.635	0.6243	0.5827	0.5773	0.5581	0.5483	0.5352	0.5228	0.2357
Decoupled-Cosine2021.04		0.7552	0.7095	0.6646	0.612	0.6086	0.5688	0.554	0.5349	0.5194	0.5093	0.4931	0.2621
Decoupled-DeepEMD2021.04		0.7535	0.7069	0.6668	0.6234	0.5976	0.5654	0.5461	0.5252	0.5073	0.492	0.476	0.2775
Ft-CNN2021.04		0.6868	0.437	0.2505	0.1772	0.1808	0.1695	0.151	0.106	0.0893	0.0893	0.0847	0.6021
iCaRL2021.04		0.6868	0.5265	0.4861	0.4416	0.3662	0.2952	0.2783	0.2626	0.2401	0.2389	0.2116	0.4752
EEIL2021.04		0.6868	0.5363	0.4791	0.442	0.363	0.2746	0.2593	0.247	0.2395	0.2413	0.2211	0.4657
NCM2021.04		0.6868	0.5712	0.4421	0.2878	0.2671	0.2566	0.2462	0.2152	0.2012	0.2006	0.1987	0.4881
TOPIC2021.04		0.6868	0.6249	0.5481	0.4999	0.4525	0.414	0.3835	0.3536	0.3222	0.2831	0.2628	0.424