← Image Classification
Papers with Code · CC BY-SA 4.0

MNIST

아카이브 평가 81건 · 마지막 적재/변경

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.

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원본 기록 순서 · 순위 미부여
모델원본 지표·값논문구현
DNN-2 (Trainable Activations)
Percentage error
3.6
Accuracy
96.4
Trainable Parameters
311651
Trainable Activations for Image Classification
2023-01-26
코드 1
Zhao et al. (2015) (auto-encoder)
Percentage error
4.76
Stacked What-Where Auto-encoders
2015-06-08
코드 1 · 코드 2
ProjectionNet
Percentage error
5.0
Accuracy
95.0
ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections
2017-08-02
연결 없음
µ2Net (ViT-L/16)
Accuracy
99.75
An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems
2022-05-25
코드 1
MobileNet_XnODR
Accuracy
99.68
XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks
2021-11-21
코드 1
ResNet-9
Accuracy
99.68
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
2022-03-29
코드 1
LR-Net
Accuracy
99.47
LR-Net: A Block-based Convolutional Neural Network for Low-Resolution Image Classification
2022-07-19
코드 1
CNN+ Wilson-Cowan model RNN
Accuracy
99.31
Learning in Wilson-Cowan model for metapopulation
2024-06-24
코드 1
FastSNN (CNN)
Accuracy
99.3
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks
2022-05-30
코드 1
rKAN
Accuracy
99.293
rKAN: Rational Kolmogorov-Arnold Networks
2024-06-20
코드 1
CNN-5 Layer
Accuracy
99.27
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent
2021-06-16
코드 1 · 코드 2
fKAN
Accuracy
99.228
fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions
2024-06-11
코드 1
StiDi-BP in R-CSNN
Accuracy
99.2
Spike time displacement based error backpropagation in convolutional spiking neural networks
2021-08-31
연결 없음
Wilson-Cowan model RNN
Accuracy
98.13
Learning in Wilson-Cowan model for metapopulation
2024-06-24
코드 1
Hypervector Tsetlin Machine
Accuracy
98.13
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines
2024-06-04
연결 없음
ViT-Mini_D9
Accuracy
98.03
Trainable Parameters
1208586
연결 없음
논문 날짜 미기재
연결 없음
FastSNN (MLP)
Accuracy
97.91
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks
2022-05-30
코드 1
Binarized MLP with on-chip spiking backpropagation (on Loihi)
Accuracy
96.2
The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware
2021-06-13
코드 1
SNNL-5
Accuracy
95.5
Improving k-Means Clustering Performance with Disentangled Internal Representations
2020-06-05
코드 1
pFedBreD_ns_mg
Accuracy
92.47
Personalized Federated Learning with Hidden Information on Personalized Prior
2022-11-19
연결 없음
DGMMC-S
Top 1 Accuracy
70
Performance of Gaussian Mixture Model Classifiers on Embedded Feature Spaces
2024-10-17
코드 1