HyperAI초신경

홈 뉴스 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Small Data Image Classification On Deic

평가 지표

Average Balanced Accuracy (across datasets)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	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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