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 52515300 of 12815 papers

TitleStatusHype
Multi-loss ensemble deep learning for chest X-ray classification0
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation0
Multi-manifold Attention for Vision Transformers0
Multi-Manifold Deep Metric Learning for Image Set Classification0
Multi-modal Aggregation for Video Classification0
Multimodal Analysis of memes for sentiment extraction0
Multimodal and Explainable Internet Meme Classification0
Multimodal Approaches to Fair Image Classification: An Ethical Perspective0
Multimodal brain tumor classification0
Multimodal Breast Lesion Classification Using Cross-Attention Deep Networks0
Multimodal Classification: Current Landscape, Taxonomy and Future Directions0
Multimodal Classification for Analysing Social Media0
Multimodal Classification of Events in Social Media0
Multimodal Classification of Teaching Activities from University Lecture Recordings0
Multimodal Classification of Urban Micro-Events0
Multimodal Classification via Modal-Aware Interactive Enhancement0
Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography0
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion0
Multimodal E-Commerce Product Classification Using Hierarchical Fusion0
Multimodal Emotion Classification0
Multi-modal Ensemble Classification for Generalized Zero Shot Learning0
Multimodal Feature Extraction for Memes Sentiment Classification0
Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets0
Multimodal Hyperspectral Image Classification via Interconnected Fusion0
Multimodal Information Fusion for Glaucoma and DR Classification0
Multimodality and Dialogue Act Classification in the RoboHelper Project0
Multi-modality Sensor Data Classification with Selective Attention0
Multi-Modal Learning Using Physicians Diagnostics for Optical Coherence Tomography Classification0
Multimodal Medical Disease Classification with LLaMA II0
Multimodal Mood Classification - A Case Study of Differences in Hindi and Western Songs0
Multi-modal multi-class Parkinson disease classification using CNN and decision level fusion0
Multimodal Multilabel Classification by CLIP0
Multi-Modal Music Information Retrieval: Augmenting Audio-Analysis with Visual Computing for Improved Music Video Analysis0
Multimodal or Text? Retrieval or BERT? Benchmarking Classifiers for the Shared Task on Hateful Memes0
Multi-Modal Prototype Learning for Interpretable Multivariable Time Series Classification0
Multimodal Prototypical Networks for Few-shot Learning0
Multimodal Relational Tensor Network for Sentiment and Emotion Classification0
Multimodal Semi-supervised Learning for Disaster Tweet Classification0
Multimodal Sleep Stage and Sleep Apnea Classification Using Vision Transformer: A Multitask Explainable Learning Approach0
Multimodal Sparse Coding for Event Detection0
Multimodal sparse representation learning and applications0
Multimodal Techniques for Malware Classification0
MultiNet with Transformers: A Model for Cancer Diagnosis Using Images0
Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models0
Multi-object Classification via Crowdsourcing with a Reject Option0
Multi-objective Feature Selection with Missing Data in Classification0
Multi-Objective Few-shot Learning for Fair Classification0
Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm0
Multi-Organ Cancer Classification and Survival Analysis0
Multi-output Classification Framework and Frequency Layer Normalization for Compound Fault Diagnosis in Motor0
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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