SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 3501–3525 of 14581 papers

TitleStatusHype
Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs—0
Quasi-Equivalence of Width and Depth of Neural Networks—0
1-D Convlutional Neural Networks for the Analysis of Pupil Size Variations in Scotopic Conditions—0
Automatic image-based identification and biomass estimation of invertebrates—0
Rényi Entropy Bounds on the Active Learning Cost-Performance Tradeoff—0
Extracting dispersion curves from ambient noise correlations using deep learning—0
Online Passive-Aggressive Total-Error-Rate Minimization—0
Illumination adaptive person reid based on teacher-student model and adversarial training—0
Improved Subsampled Randomized Hadamard Transform for Linear SVM—0
Geosocial Location Classification: Associating Type to Places Based on Geotagged Social-Media Posts—0
Detection and Classification of Cardiac Arrhythmias by a Challenge-Best Deep Learning Neural Network ModelCode1
Iterative Data Programming for Expanding Text Classification Corpora—0
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs—0
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining—0
Texture Classification using Block Intensity and Gradient Difference (BIGD) Descriptor—0
On Positive-Unlabeled Classification in GANCode1
Determination of the relative inclination and the viewing angle of an interacting pair of galaxies using convolutional neural networks—0
Open-set learning with augmented categories by exploiting unlabelled data—0
Multi-label Relation Modeling in Facial Action Units Detection—0
Medicine Strip Identification using 2-D Cepstral Feature Extraction and Multiclass Classification Methods—0
Speech Emotion Recognition using Support Vector Machine—0
Defending Adversarial Attacks via Semantic Feature Manipulation—0
On-Device Information Extraction from SMS using Hybrid Hierarchical Classification—0
A neural network model that learns differences in diagnosis strategies among radiologists has an improved area under the curve for aneurysm status classification in magnetic resonance angiography image series—0
Syn2Real: Forgery Classification via Unsupervised Domain AdaptationCode1
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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