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CIFAR-10

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아카이브 평가 265건 · 마지막 적재/변경 2026-10-30

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
DCNN	Percentage correct 89	ImageNet Classification with Deep Convolutional Neural Networks 2012-12-01	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 · 코드 13 · 코드 14 · 코드 15 · 코드 16 · 코드 17 · 코드 18 · 코드 19 · 코드 20 · 코드 21 · 코드 22 · 코드 23
ResNet-14 (Trainable Activations)	Percentage correct 89.0	Trainable Activations for Image Classification 2023-01-26	코드 1
MCDNN	Percentage correct 88.8	Multi-column Deep Neural Networks for Image Classification 2012-02-13	코드 1
RReLU	Percentage correct 88.8	Empirical Evaluation of Rectified Activations in Convolutional Network 2015-05-05	코드 1 · 코드 2
ResNet-56 (Trainable Activations)	Percentage correct 88.8	Trainable Activations for Image Classification 2023-01-26	코드 1
F-DENSER++	Percentage correct 88.73	Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks 2019-05-08	연결 없음
Diffusion Classifier (zero-shot)	Percentage correct 88.5	Your Diffusion Model is Secretly a Zero-Shot Classifier 2023-03-28	코드 1 · 코드 2 · 코드 3 · 코드 4
ReNet	Percentage correct 87.7	ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks 2015-05-03	코드 1 · 코드 2 · 코드 3 · 코드 4
OnDev-LCT-8/3	Percentage correct 87.65 Top-1 Accuracy 87.65 Parameters 0.95M	OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning 2024-01-22	연결 없음
OnDev-LCT-4/3	Percentage correct 87.03 Top-1 Accuracy 87.03 Parameters 0.55M	OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning 2024-01-22	연결 없음
TripleNet-B	Percentage correct 87.03	Efficient Convolutional Neural Networks on Raspberry Pi for Image Classification 2022-04-02	코드 1
An Analysis of Unsupervised Pre-training in Light of Recent Advances	Percentage correct 86.7	An Analysis of Unsupervised Pre-training in Light of Recent Advances 2014-12-20	코드 1 · 코드 2
ThreshNet95	Percentage correct 86.69	ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections 2022-01-09	코드 1
OnDev-LCT-8/1	Percentage correct 86.64 Top-1 Accuracy 86.64 Parameters 0.91M	OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning 2024-01-22	연결 없음
ShortNet1-53	Percentage correct 86.64	Connection Reduction of DenseNet for Image Recognition 2022-08-02	코드 1
OnDev-LCT-4/1	Percentage correct 86.61 Top-1 Accuracy 86.61 Parameters 0.51M	OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning 2024-01-22	연결 없음
CNN+ Wilson-Cowan model RNN	Percentage correct 86.59	Learning in Wilson-Cowan model for metapopulation 2024-06-24	코드 1
ResNet-8 (Trainable Activations)	Percentage correct 86.5	Trainable Activations for Image Classification 2023-01-26	코드 1
ThresholdNet	Percentage correct 86.34	New Pruning Method Based on DenseNet Network for Image Classification 2021-08-28	연결 없음
OnDev-LCT-2/1	Percentage correct 86.27 Top-1 Accuracy 86.27 Parameters 0.31M	OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning 2024-01-22	연결 없음
OnDev-LCT-2/3	Percentage correct 86.04 Top-1 Accuracy 86.04 Parameters 0.35M	OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning 2024-01-22	연결 없음
OnDev-LCT-1/3	Percentage correct 85.73 Top-1 Accuracy 85.73 Parameters 0.25M	OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning 2024-01-22	연결 없음
cvpr_class	Percentage correct 85.28	ResNet strikes back: An improved training procedure in timm 2021-10-01	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 · 코드 13 · 코드 14
WaveMix	Percentage correct 85.21	WaveMix: Multi-Resolution Token Mixing for Images 2021-09-29	코드 1
Stochastic Pooling	Percentage correct 84.9	Stochastic Pooling for Regularization of Deep Convolutional Neural Networks 2013-01-16	코드 1
OnDev-LCT-1/1	Percentage correct 84.55 Top-1 Accuracy 84.55 Parameters 0.21M	OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning 2024-01-22	연결 없음
Improving neural networks by preventing co-adaptation of feature detectors	Percentage correct 84.4	Improving neural networks by preventing co-adaptation of feature detectors 2012-07-03	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11
CCN	Percentage correct 83.36	Vision Xformers: Efficient Attention for Image Classification 2021-07-05	코드 1 · 코드 2
CvN	Percentage correct 83.26	Vision Xformers: Efficient Attention for Image Classification 2021-07-05	코드 1 · 코드 2
UL-Hopfield (ULH)	Percentage correct 83.1	Unsupervised Learning using Pretrained CNN and Associative Memory Bank 2018-05-02	연결 없음