SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5926–5950 of 14581 papers

TitleStatusHype
Deep Convolutional Neural Networks for Anomaly Event Classification on Distributed Systems—0
Deep Convolutional Neural Networks for Map-Type Classification—0
Deep Convolutional Spiking Neural Networks for Image Classification—0
Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning—0
DeepCough: A Deep Convolutional Neural Network in A Wearable Cough Detection System—0
Deep Covariance Descriptors for Facial Expression Recognition—0
Deep Decision Network for Multi-Class Image Classification—0
Deep Degradation Prior for Low-Quality Image Classification—0
Deep Detection for Face Manipulation—0
Deep Determinantal Point Process for Large-Scale Multi-Label Classification—0
Deep Dictionary Learning: A PARametric NETwork Approach—0
Deep Diffusion-Invariant Wasserstein Distributional Classification—0
Deep Discriminative Fine-Tuning for Cancer Type Classification—0
Deep Discriminative Learning for Unsupervised Domain Adaptation—0
Deep Discriminative Model for Video Classification—0
Deep Discriminative Representation Learning with Attention Map for Scene Classification—0
DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection—0
Deep Embedding Kernel—0
DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers—0
DeepEMGNet: An Application for Efficient Discrimination of ALS and Normal EMG Signals—0
Deep Ensemble Bayesian Active Learning : Adressing the Mode Collapse issue in Monte Carlo dropout via Ensembles—0
Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles—0
Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph for Fine-grained Object Classification—0
Deep ensemble learning for Alzheimers disease classification—0
Deep ensemble network with explicit complementary model for accuracy-balanced classification—0
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified