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Small Data Image Classification 벤치마크

Small Data Image Classification on DEIC Benchmark

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Average Balanced Accuracy (across datasets)

55.47 58.78 62.09 65.39 68.7 2021-08 2026-11 Harmonic Networks — 68.7 (2021-08-30) Cross-Entropy baseline — 67.9 (2021-08-30) Cosine + Cross-Entropy Loss — 64.92 (2021-08-30) T-vMF Similarity — 64.67 (2021-08-30) DSK Networks — 64.64 (2021-08-30) OLÉ — 64.15 (2021-08-30) Cosine Loss — 62.73 (2021-08-30) Full Convolution — 62.06 (2021-08-30) Deep Hybrid Networks — 60.33 (2021-08-30) Grad-l2 Penalty — 55.47 (2021-08-30) Harmonic Networks — 68.7 (2021-08-30)
RankModel Average Balanced Accuracy (across datasets) PaperCodeYear
1 Harmonic Networks 68.70 Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification cvjena/deic 2021
2 Cross-Entropy baseline 67.90 Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification cvjena/deic 2021
3 Cosine + Cross-Entropy Loss 64.92 Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification cvjena/deic 2021
4 T-vMF Similarity 64.67 Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification cvjena/deic 2021
5 DSK Networks 64.64 Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification cvjena/deic 2021
6 OLÉ 64.15 Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification cvjena/deic 2021
7 Cosine Loss 62.73 Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification cvjena/deic 2021
8 Full Convolution 62.06 Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification cvjena/deic 2021
9 Deep Hybrid Networks 60.33 Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification cvjena/deic 2021
10 Grad-l2 Penalty 55.47 Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification cvjena/deic 2021
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