SOTAVerified

Classification

Classification is the task of categorizing a set of data into predefined classes or groups. The aim of classification is to train a model to correctly predict the class or group of new, unseen data. The model is trained on a labeled dataset where each instance is assigned a class label. The learning algorithm then builds a mapping between the features of the data and the class labels. This mapping is then used to predict the class label of new, unseen data points. The quality of the prediction is usually evaluated using metrics such as accuracy, precision, and recall.

Papers

Showing 67016750 of 12815 papers

TitleStatusHype
Fairness with Overlapping Groups0
Fairness with Overlapping Groups; a Probabilistic Perspective0
FairXGBoost: Fairness-aware Classification in XGBoost0
Faithful learning with sure data for lung nodule diagnosis0
Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection0
Fake it till you make it: Learning transferable representations from synthetic ImageNet clones0
Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case0
Fake News Detection using Stance Classification: A Survey0
Fake news stance detection using stacked ensemble of classifiers0
FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition0
Fall Leaf Adversarial Attack on Traffic Sign Classification0
FARE: A Deep Learning-Based Framework for Radar-based Face Recognition and Out-of-distribution Detection0
Fase-AL -- Adaptation of Fast Adaptive Stacking of Ensembles for Supporting Active Learning0
FASG: Feature Aggregation Self-training GCN for Semi-supervised Node Classification0
Fashion and Apparel Classification using Convolutional Neural Networks0
Fast and accurate classification of echocardiograms using deep learning0
Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping0
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition0
FastATDC: Fast Anomalous Trajectory Detection and Classification0
FastCAR: Fast Classification And Regression Multi-Task Learning via Task Consolidation for Modelling a Continuous Property Variable of Object Classes0
Fast Classification of Large Time Series Datasets0
Fast Classification Rates for High-dimensional Gaussian Generative Models0
Fast classification rates without standard margin assumptions0
Fast Context-Annotated Classification of Different Types of Web Service Descriptions0
Fast convergence rates of deep neural networks for classification0
Fast discovery of multidimensional subsequences for robust trajectory classification0
Faster and Accurate Classification for JPEG2000 Compressed Images in Networked Applications0
FASTER Recurrent Networks for Efficient Video Classification0
Faster variational inducing input Gaussian process classification0
Fast Exact NPN Classification with Influence-aided Canonical Form0
Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization0
FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets0
FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation0
Fast Gesture Recognition with Multiple Stream Discrete HMMs on 3D Skeletons0
Fast Image Classification by Boosting Fuzzy Classifiers0
Fast Imbalanced Classification of Healthcare Data with Missing Values0
Fast Labeling and Transcription with the Speechalyzer Toolkit0
Fast Maximum Likelihood Estimation and Supervised Classification for the Beta-Liouville Multinomial0
Fast Multi-Class Probabilistic Classifier by Sparse Non-parametric Density Estimation0
Fast MVAE: Joint separation and classification of mixed sources based on multichannel variational autoencoder with auxiliary classifier0
Fast Object Classification in Single-pixel Imaging0
Fast Optimal Bandwidth Selection for RBF Kernel using Reproducing Kernel Hilbert Space Operators for Kernel Based Classifiers0
Fast Privacy-Preserving Text Classification based on Secure Multiparty Computation0
Fast Rates for Bandit PAC Multiclass Classification0
Fast semantic segmentation of 3d point clouds with strongly varying density0
Fast Training of Deep Networks with One-Class CNNs0
Fast Video Classification via Adaptive Cascading of Deep Models0
Fault Classification in Electrical Distribution Systems using Grassmann Manifold0
FBNetV5: Neural Architecture Search for Multiple Tasks in One Run0
F_β-plot -- a visual tool for evaluating imbalanced data classifiers0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ConvNextAverage Recall93.47Unverified
2VGG16Average Recall92.86Unverified
3DenseNet201Average Recall90.99Unverified
4Inception ResNet V2Average Recall90.27Unverified
5XceptionAverage Recall89.81Unverified
6NASNetLargeAverage Recall89.52Unverified
7Darknet53Average Recall88.53Unverified
8ResNetV2_50Average Recall88.08Unverified
9MobileNetV3Average Recall84.28Unverified
#ModelMetricClaimedVerifiedStatus
1MoCo-v2 (ResNet-50)Accuracy88.03Unverified
2MoCo-v2 (ResNet-50)Accuracy85.88Unverified
3Barlow Twins (ResNet-50)Accuracy84.03Unverified
4SwAV (ResNet-50)Accuracy83.21Unverified
5Supervised (ViT-S/16)Accuracy81.68Unverified
6Barlow Rwins (ResNet-50)Accuracy81.27Unverified
7DINO (ViT-S/16)Accuracy79.43Unverified
8Supervised (ResNet-50)Accuracy78.92Unverified
9SwAV (ResNet-50)Accuracy77.99Unverified
#ModelMetricClaimedVerifiedStatus
1Event Spike TensorAccuracy (%)48.93Unverified
2DiSTAccuracy (%)48.43Unverified
3Sorted Time SurfaceAccuracy (%)47.9Unverified
4Event HistogramAccuracy (%)47.73Unverified
5HATSAccuracy (%)47.14Unverified
6Binary Event ImageAccuracy (%)46.36Unverified
7Timestamp ImageAccuracy (%)45.86Unverified
8Event ImageAccuracy (%)45.77Unverified
9Time SurfaceAccuracy (%)44.32Unverified
#ModelMetricClaimedVerifiedStatus
1DenseNet121 DistillerAccuracy81.84Unverified
2ResNet101V2 DistillerAccuracy80.29Unverified
3ResNet50V2 DistillerAccuracy79.03Unverified
4MobileNet DistillerAccuracy78.26Unverified
5MobileNetV3Small DistillerAccuracy78.04Unverified
6MobileNetV3Large DistillerAccuracy77.88Unverified
7NASNetMobile DistillerAccuracy77.75Unverified
8MobileNetV2 DistillerAccuracy77.53Unverified
9ResNet50 DistillerAccuracy77.45Unverified
#ModelMetricClaimedVerifiedStatus
1PoseFormerV2F1-score (weighted)0.59Unverified
2PD STGCNF1-score (weighted)0.48Unverified
3MotionBERTF1-score (weighted)0.47Unverified
4Pose Transformers (POTR)F1-score (weighted)0.46Unverified
5MotionBERT-LITEF1-score (weighted)0.43Unverified
6MotionAGFormerF1-score (weighted)0.42Unverified
7MixsteF1-score (weighted)0.41Unverified
#ModelMetricClaimedVerifiedStatus
1Swin Transformer Base (Patch 4 Window 12)F1 score0.89Unverified
2CASSF1 score0.89Unverified
3CASSF1 score0.87Unverified
4DINOF1 score0.86Unverified
5DINOF1 score0.84Unverified
6VANBUREN et allF1 score0.63Unverified
#ModelMetricClaimedVerifiedStatus
1MEMAccuracy (%)98.55Unverified
2GETAccuracy (%)96.7Unverified
3ResNet34 + ESTAccuracy (%)92.5Unverified
4Spiking VGG-11Accuracy (%)92.4Unverified
5Spiking MobileNet-64Accuracy (%)91.7Unverified
6Spiking DenseNet121-24Accuracy (%)90.4Unverified
#ModelMetricClaimedVerifiedStatus
1Event ImgeAccuracy (%)61.42Unverified
2Event HistogramAccuracy (%)61.02Unverified
3Timestamp ImageAccuracy (%)60.46Unverified
4DiSTAccuracy (%)59.74Unverified
5Sorted Time SurfaceAccuracy (%)58.38Unverified
6Binary Event ImageAccuracy (%)53.52Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-L/32-384 with Max-logitDetection AUROC (severity 0)1Unverified
2ViT-L/32-384 with ODINDetection AUROC (severity 0)1Unverified
3ViT-L/32-384 with EntropyDetection AUROC (severity 0)0.99Unverified
4ViT-L/32-384 with MC DropoutDetection AUROC (severity 0)0.99Unverified
5ViT-L/32-384 with SoftmaxDetection AUROC (severity 0)0.99Unverified
#ModelMetricClaimedVerifiedStatus
1MixMamba-Fewshot10 fold Cross validation99.93Unverified
2Few-shot Transformer Covariance10 fold Cross validation99.86Unverified
3MCNN-LSTM10 fold Cross validation98.46Unverified
4CNN10 fold Cross validation7Unverified
#ModelMetricClaimedVerifiedStatus
170_divisionsprecision93.2Unverified
260_divisionsprecision93.2Unverified
380_divisionsprecision93.2Unverified
#ModelMetricClaimedVerifiedStatus
1MINTIME-XCAUC94.25Unverified
2SlowFast R-50AUC90.86Unverified
3MINTIME-EFAUC90.45Unverified
#ModelMetricClaimedVerifiedStatus
1DenseNet121Robustness Score0.91Unverified
2ResNet 50Robustness Score0.9Unverified
3VGG-16Robustness Score0.88Unverified
#ModelMetricClaimedVerifiedStatus
1BIOSCAN_1M_order_classifierMacro F192.65Unverified
2BIOSCAN_1M_family_classifierMacro F191.45Unverified
#ModelMetricClaimedVerifiedStatus
1OPT-1.3BTest Accuracy62.5Unverified
2OPT-125MTest Accuracy61.6Unverified
#ModelMetricClaimedVerifiedStatus
1OPT-1.3BTest Accuracy75.71Unverified
2OPT-125MTest Accuracy75Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-41 shot Micro-F196.86Unverified
2BiLSTM-CRF1 shot Micro-F182.2Unverified
#ModelMetricClaimedVerifiedStatus
1SVMF1-score (Weighted)86.19Unverified
2RoBERTaF1-score (Weighted)78.13Unverified
#ModelMetricClaimedVerifiedStatus
1GLNet1:1 Accuracy95.07Unverified
2CPM1:1 Accuracy50Unverified
#ModelMetricClaimedVerifiedStatus
1OPT-1.3BTest Accuracy60.89Unverified
2OPT-125MTest Accuracy57.05Unverified
#ModelMetricClaimedVerifiedStatus
1ELM NeuronAccuracy (%)82Unverified
2LSTMAccuracy (%)10Unverified
#ModelMetricClaimedVerifiedStatus
1OPT-1.3BTest Accuracy90.78Unverified
2OPT-125MTest Accuracy85.08Unverified
#ModelMetricClaimedVerifiedStatus
1OPT-1.3BTest Accuracy56.14Unverified
2OPT-125MTest Accuracy53.38Unverified
#ModelMetricClaimedVerifiedStatus
1OPT-1.3BTest Accuracy64.16Unverified
2OPT-125MTest Accuracy59.59Unverified
#ModelMetricClaimedVerifiedStatus
1MambaNetAUROC0.91Unverified
#ModelMetricClaimedVerifiedStatus
1RandomForestClassifierAccuracy82Unverified
#ModelMetricClaimedVerifiedStatus
1CNN + Attention + LSTM + CNNAccuracy (%)86.91Unverified
#ModelMetricClaimedVerifiedStatus
1WeaSEL1:1 Accuracy86Unverified
#ModelMetricClaimedVerifiedStatus
1DINOF1 score0.99Unverified
#ModelMetricClaimedVerifiedStatus
1AAPSO-Deep Feature SelectionAccuracy98.41Unverified
#ModelMetricClaimedVerifiedStatus
1CNNValidation Accuracy93.55Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet8×4Accuracy77.5Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-L/16 (Background)Accuracy on Brightness Corrupted Images99.03Unverified
#ModelMetricClaimedVerifiedStatus
1Random ForestAUC0.97Unverified
#ModelMetricClaimedVerifiedStatus
1lstmAccuracy0.72Unverified
#ModelMetricClaimedVerifiedStatus
1MSTPAccuracy95.11Unverified
#ModelMetricClaimedVerifiedStatus
1RECALLOverall accuracy after last sequence57.83Unverified
#ModelMetricClaimedVerifiedStatus
1RECALLOverall accuracy after last sequence4,065Unverified
#ModelMetricClaimedVerifiedStatus
1RRWNetAccuracy0.98Unverified
#ModelMetricClaimedVerifiedStatus
1TD-CNN- AttentionF1 score99.71Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-RN50x641-of-100 Accuracy61Unverified
#ModelMetricClaimedVerifiedStatus
1SVMF1 (%)97.72Unverified
#ModelMetricClaimedVerifiedStatus
1RRWNetAccuracy0.95Unverified
#ModelMetricClaimedVerifiedStatus
1HSQformerAUC83.83Unverified
#ModelMetricClaimedVerifiedStatus
1WaferSegClassNetAccuracy0.98Unverified
#ModelMetricClaimedVerifiedStatus
1C-Tran, preprocessing, augmentationML F10.57Unverified
#ModelMetricClaimedVerifiedStatus
1μ RadNet1:1 Accuracy99.22Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet 50Accuracy (% )92.5Unverified
#ModelMetricClaimedVerifiedStatus
1RRWNetAccuracy0.97Unverified
#ModelMetricClaimedVerifiedStatus
1pFedBreD_ns_mgAccuracy73.81Unverified
#ModelMetricClaimedVerifiedStatus
1SGD_ssF1 (Seqeval)2,020Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasFrame Level Accuracy0.89Unverified
#ModelMetricClaimedVerifiedStatus
11DCNN-ResNetmacro f1 score (A(100), B(100), C(100) Avg.)0.99Unverified
#ModelMetricClaimedVerifiedStatus
1BRIDGEAccuracy25.6Unverified
#ModelMetricClaimedVerifiedStatus
1MSI-H TransformerAUPRC0.58Unverified
#ModelMetricClaimedVerifiedStatus
1BRIDGEAccuracy42.2Unverified
#ModelMetricClaimedVerifiedStatus
1BRIDGEAccuracy36.2Unverified