SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4351–4400 of 14581 papers

TitleStatusHype
Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification—0
Residual Block-based Multi-Label Classification and Localization Network with Integral Regression for Vertebrae Labeling—0
Residual CNDS—0
Residual-CycleGAN based Camera Adaptation for Robust Diabetic Retinopathy Screening—0
Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy—0
Residual Generation Using Physically-Based Grey-Box Recurrent Neural Networks For Engine Fault Diagnosis—0
Residual Network based Aggregation Model for Skin Lesion Classification—0
Resilient Combination of Complementary CNN and RNN Features for Text Classification through Attention and Ensembling—0
Resilient Linear Classification: An Approach to Deal with Attacks on Training Data—0
Resolution-Based Distillation for Efficient Histology Image Classification—0
ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification—0
Resource Creation and Evaluation for Multilingual Sentiment Analysis in Social Media Texts—0
Resource-Efficient Computing in Wearable Systems—0
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification—0
Respiratory Sound Classification Using Long-Short Term Memory—0
Resting-state EEG sex classification using selected brain connectivity representation—0
Restricted Boltzmann Machine for Classification with Hierarchical Correlated Prior—0
Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer—0
Restricted Boltzmann Machine with Multivalued Hidden Variables: a model suppressing over-fitting—0
RetGK: Graph Kernels based on Return Probabilities of Random Walks—0
Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning-based Radiograph Diagnosis: A Multicenter Study—0
Rethinking Classification and Localization for Cascade R-CNN—0
Beyond Triplet Loss: Meta Prototypical N-tuple Loss for Person Re-identification—0
Rethinking Convolutional Semantic Segmentation Learning—0
Rethinking movie genre classification with fine-grained semantic clustering—0
Rethinking Skip-thought: A Neighborhood based Approach—0
Rethinking the Faster R-CNN Architecture for Temporal Action Localization—0
Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network—0
Returning the N to NLP: Towards Contextually Personalized Classification Models—0
Reusing Neural Speech Representations for Auditory Emotion Recognition—0
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks—0
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth—0
Reversed Active Learning based Atrous DenseNet for Pathological Image Classification—0
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics—0
Reverse Multi-Label Learning—0
Unauthorized AI cannot Recognize Me: Reversible Adversarial Example—0
Review-Level Sentiment Classification with Sentence-Level Polarity Correction—0
Supervised Momentum Contrastive Learning for Few-Shot Classification—0
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering—0
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation—0
Revisiting ( , , )-similarity learning for domain adaptation—0
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes—0
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective—0
Revisiting Human Action Recognition: Personalization vs. Generalization—0
Revisiting IM2GPS in the Deep Learning Era—0
Revisiting Metric Learning for Few-Shot Image Classification—0
Revisiting MLLMs: An In-Depth Analysis of Image Classification Abilities—0
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization—0
Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification—0
Revisiting the Importance of Individual Units in CNNs via Ablation—0
Show:102550
← PrevPage 88 of 292Next →
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