← Small Data Image Classification

Papers with Code · CC BY-SA 4.0

DEIC Benchmark

아카이브 평가 10건 · 마지막 적재/변경 2026-10-30

원본 데이터셋 링크 1

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
Harmonic Networks	Average Balanced Accuracy (across datasets) 68.70	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification 2021-08-30	코드 1
Cross-Entropy baseline	Average Balanced Accuracy (across datasets) 67.90	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification 2021-08-30	코드 1
Cosine + Cross-Entropy Loss	Average Balanced Accuracy (across datasets) 64.92	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification 2021-08-30	코드 1
T-vMF Similarity	Average Balanced Accuracy (across datasets) 64.67	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification 2021-08-30	코드 1
DSK Networks	Average Balanced Accuracy (across datasets) 64.64	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification 2021-08-30	코드 1
OLÉ	Average Balanced Accuracy (across datasets) 64.15	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification 2021-08-30	코드 1
Cosine Loss	Average Balanced Accuracy (across datasets) 62.73	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification 2021-08-30	코드 1
Full Convolution	Average Balanced Accuracy (across datasets) 62.06	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification 2021-08-30	코드 1
Deep Hybrid Networks	Average Balanced Accuracy (across datasets) 60.33	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification 2021-08-30	코드 1
Grad-l2 Penalty	Average Balanced Accuracy (across datasets) 55.47	Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification 2021-08-30	코드 1