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Small Data Image Classification On Deic

Metrics

Average Balanced Accuracy (across datasets)

Results

Performance results of various models on this benchmark

Model Name	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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Small Data Image Classification On Deic | SOTA | HyperAI