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 42514300 of 12815 papers

TitleStatusHype
Classification of Chest Diseases using Wavelet Transforms and Transfer Learning0
Classification of chaotic time series with deep learning0
Adaptive Region Embedding for Text Classification0
Efficient Online Set-valued Classification with Bandit Feedback0
Classification of Cervical Cancer Dataset0
Classification of Censored Tweets in Chinese Language using XLNet0
A probabilistic patch based image representation using Conditional Random Field model for image classification0
A Probabilistic Optimum-Path Forest Classifier for Binary Classification Problems0
Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks0
A General Framework for Multi-focal Image Classification and Authentication: Application to Microscope Pollen Images0
Efficient Neural Network Approaches for Leather Defect Classification0
Efficient Privacy Preserving Edge Computing Framework for Image Classification0
Classification of breast cancer histology images using transfer learning0
A Probabilistic Machine Learning Approach to Detect Industrial Plant Faults0
A general framework for causal classification0
Classification of All Blood Cell Images using ML and DL Models0
Classification of Big Data with Application to Imaging Genetics0
A Probabilistic Collaborative Representation Based Approach for Pattern Classification0
EfficientNet for Brain-Lesion classification0
Classification of Beer Bottles using Object Detection and Transfer Learning0
A probabilistic approach to emission-line galaxy classification0
Age Group Classification with Speech and Metadata Multimodality Fusion0
Classification of Basmati Rice Grain Variety using Image Processing and Principal Component Analysis0
Classification Of Automotive Targets Using Inverse Synthetic Aperture Radar Images0
A Privacy Preserving Method with a Random Orthogonal Matrix for ConvMixer Models0
Activation Functions for Generalized Learning Vector Quantization - A Performance Comparison0
Classification of Autism Spectrum Disorder Using Supervised Learning of Brain Connectivity Measures Extracted from Synchrostates0
Classification of Anuran Frog Species Using Machine Learning0
A privacy-preserving method using secret key for convolutional neural network-based speech classification0
Classification of Anomalies in Telecommunication Network KPI Time Series0
Classification of Aerial Photogrammetric 3D Point Clouds0
A priori estimates for classification problems using neural networks0
Age and Gender Classification with Small Scale CNN0
Classification of Adventitious Sounds Combining Cochleogram and Vision Transformers0
Classification of ADHD Patients Using Kernel Hierarchical Extreme Learning Machine0
2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips0
Apricot variety classification using image processing and machine learning approaches0
Classification non supervisée des données hétérogènes à large échelle0
Efficient Monte Carlo Methods for Multi-Dimensional Learning with Classifier Chains0
Efficient Multilingual Text Classification for Indian Languages0
Efficient multivariate sequence classification0
Classification multilabel de concepts médicaux pour l’identification du profil clinique du patient (Multilabel classification of medical concepts for patient’s clinical profile identification )0
Classification multi-label de cas cliniques avec CamemBERT (Multi-label classification of clinical cases with CamemBERT )0
A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition0
Classification multi-label \`a grande dimension pour la d\'etection de concepts m\'edicaux (Large multi-label classification for medical concepts detection)0
Classification Models for Partially Ordered Sequences0
A Preliminary Study on Environmental Sound Classification Leveraging Large-Scale Pretrained Model and Semi-Supervised Learning0
Age and Gender Classification From Ear Images0
Classification Methods Based on Machine Learning for the Analysis of Fetal Health Data0
Classification Matters: Improving Video Action Detection with Class-Specific Attention0
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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