Home Console Docs News Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Small Data Image Classification On Deic

Metrics

Average Balanced Accuracy (across datasets)

Results

Performance results of various models on this benchmark

		Paper Title	Repository
Harmonic Networks	68.70	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification
Cross-Entropy baseline	67.90	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
T-vMF Similarity	64.67	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
OLÉ	64.15	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
Full Convolution	62.06	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
Grad-l2 Penalty	55.47	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification

0 of 10 row(s) selected.