SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 4651–4675 of 14581 papers

TitleStatusHype
Self-paced ensemble learning for speech and audio classification—0
Self-Paced Video Data Augmentation with Dynamic Images Generated by Generative Adversarial Networks—0
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations—0
Self-supervised Attention Model for Weakly Labeled Audio Event Classification—0
Self-supervised classification of dynamic obstacles using the temporal information provided by videos—0
Self-supervised deep convolutional neural network for chest X-ray classification—0
Self-Supervised GAN to Counter Forgetting—0
Self-supervised Learning for Astronomical Image Classification—0
Self-Supervised Learning for Spinal MRIs—0
Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking—0
Self-Supervised Learning via multi-Transformation Classification for Action Recognition—0
Self-supervised Regularization for Text Classification—0
Self-Supervised Representation Learning for Visual Anomaly Detection—0
Self-Supervised Representation Learning on Document Images—0
Self-supervised speaker embeddings—0
Self-Supervised Transformers for Activity Classification using Ambient Sensors—0
Self-Supervised Video Representation Learning With Odd-One-Out Networks—0
Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning—0
Self-Training with Improved Regularization for Sample-Efficient Chest X-Ray Classification—0
Self-tuned Visual Subclass Learning with Shared Samples An Incremental Approach—0
Self-Weighted Ensemble Method to Adjust the Influence of Individual Models based on Reliability—0
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification—0
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes—0
Semantic Adversarial Network with Multi-scale Pyramid Attention for Video Classification—0
Semantically Enriched Models for Modal Sense 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