HyperAI超神经

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中文

HyperAI超神经

Small Data Image Classification On Deic

评估指标

Average Balanced Accuracy (across datasets)

评测结果

各个模型在此基准测试上的表现结果

模型名称	Average Balanced Accuracy (across datasets)	Paper Title	Repository
Cross-Entropy baseline	67.90	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
T-vMF Similarity	64.67	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Deep Hybrid Networks	60.33	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
OLÉ	64.15	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Harmonic Networks	68.70	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Cosine Loss	62.73	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
DSK Networks	64.64	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Full Convolution	62.06	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Grad-l2 Penalty	55.47	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Cosine + Cross-Entropy Loss	64.92	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification

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