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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
| Paper Title | ||
|---|---|---|
| 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 |
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