SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3251–3275 of 14581 papers

TitleStatusHype
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages—0
Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers—0
On the Arbitrary-Oriented Object Detection: Classification based Approaches RevisitedCode2
A Power-Efficient Binary-Weight Spiking Neural Network Architecture for Real-Time Object Classification—0
Human Grasp Classification for Reactive Human-to-Robot Handovers—0
Topological Effects on Attacks Against Vertex Classification—0
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image ClassificationCode1
How Powerful Are Randomly Initialized Pointcloud Set Functions?—0
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models—0
Spitzoid Lesions Diagnosis based on GA feature selection and Random Forest—0
Closure Properties for Private Classification and Online Prediction—0
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial OcclusionCode1
SuperMix: Supervising the Mixing Data AugmentationCode1
Topological Machine Learning for Mixed Numeric and Categorical DataCode0
Text classification with word embedding regularization and soft similarity measureCode0
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot LearningCode1
Collaborative Learning of Semi-Supervised Clustering and Classification for Labeling Uncurated Data—0
Deep Inverse Feature Learning: A Representation Learning of Error—0
Dense Dilated Convolutions Merging Network for Land Cover ClassificationCode1
Metric Learning for Ordered Labeled Trees with pq-gramsCode0
Embedding Propagation: Smoother Manifold for Few-Shot ClassificationCode1
Utilizing Deep Learning to Identify Drug Use on Twitter Data—0
Inverse Feature Learning: Feature learning based on Representation Learning of Error—0
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw PatchesCode1
Angle-Based Cost-Sensitive Multicategory 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