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

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Showing 5251–5300 of 12815 papers

Title	Date	Tasks	Status
Voltage Quality Time Series Classification using Convolutional Neural Network	Mar 30, 2019	ClassificationTime Series	—Unverified
Volume Regularization for Binary Classification	Dec 1, 2012	Binary ClassificationClassification	—Unverified
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport	Jul 3, 2023	ClassificationDiversity	—Unverified
Voting Network for Contour Levee Farmland Segmentation and Classification	Sep 28, 2023	ClassificationImage Segmentation	—Unverified
Vowel and Consonant Classification through Spectral Decomposition	Sep 1, 2017	ClassificationGeneral Classification	—Unverified
Vowel-based Meeteilon dialect identification using a Random Forest classifier	Jul 26, 2021	ClassificationDialect Identification	—Unverified
VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI	Jan 13, 2021	ClassificationDimensionality Reduction	—Unverified
VSFormer: Value and Shape-Aware Transformer with Prior-Enhanced Self-Attention for Multivariate Time Series Classification	Dec 21, 2024	ClassificationTime Series	—Unverified
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks	Jul 9, 2018	ClassificationGeneral Classification	—Unverified
Vulnerability of LLMs to Vertically Aligned Text Manipulations	Oct 26, 2024	ClassificationFew-Shot Learning	—Unverified
VWise: A novel benchmark for evaluating scene classification for vehicular applications	Jun 5, 2024	ClassificationScene Classification	—Unverified
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality	Mar 24, 2021	Bayesian InferenceClassification	—Unverified
Wafer Map Defect Classification Using Autoencoder-Based Data Augmentation and Convolutional Neural Network	Nov 17, 2024	ClassificationData Augmentation	—Unverified
Walk in Wild: An Ensemble Approach for Hostility Detection in Hindi Posts	Jan 15, 2021	Binary ClassificationClassification	—Unverified
Walk-Steered Convolution for Graph Classification	Apr 16, 2018	ClassificationClustering	—Unverified
Warped-Linear Models for Time Series Classification	Nov 24, 2017	ClassificationDynamic Time Warping	—Unverified
WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction	Apr 20, 2021	ClassificationEmotion Classification	—Unverified
Wasserstein Robust Classification with Fairness Constraints	Mar 11, 2021	AttributeClassification	—Unverified
Waste Classification Algorithm	Sep 4, 2021	Classification	—Unverified
WasteNet: Waste Classification at the Edge for Smart Bins	Jun 10, 2020	ClassificationGeneral Classification	—Unverified
Was that so hard? Estimating human classification difficulty	Mar 22, 2022	ClassificationMetric Learning	—Unverified
Watch Only Once: An End-to-End Video Action Detection Framework	Jan 1, 2021	Action ClassificationAction Detection	—Unverified
Watermarking Graph Neural Networks based on Backdoor Attacks	Oct 21, 2021	ClassificationGraph Classification	—Unverified
Wav2vec-based Detection and Severity Level Classification of Dysarthria from Speech	Sep 25, 2023	ClassificationMedical Diagnosis	—Unverified
Wavelet analysis in problems of classification of ECG signals	Jul 26, 2018	Classification	—Unverified
Wavelet-Attention CNN for Image Classification	Jan 23, 2022	Classificationimage-classification	—Unverified
Wavelet-Based Multi-Class Seizure Type Classification System	Feb 19, 2022	ClassificationDiagnostic	—Unverified
Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination	Feb 11, 2016	ClassificationGeneral Classification	—Unverified
Wavelet Classification for Over-the-Air Non-Orthogonal Waveforms	Jun 21, 2020	ClassificationDiversity	—Unverified
W-CTC: a Connectionist Temporal Classification Loss with Wild Cards	Sep 29, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision	Apr 16, 2025	Classificationimage-classification	—Unverified
Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNN	Dec 17, 2020	Action ClassificationAction Localization	—Unverified
Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification	Oct 2, 2021	ClassificationMultiple Instance Learning	—Unverified
Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health	Sep 30, 2019	ClassificationGeneral Classification	—Unverified
Weakly Supervised-Based Oversampling for High Imbalance and High Dimensionality Data Classification	Sep 29, 2020	ClassificationGeneral Classification	—Unverified
Weakly Supervised Bilinear Attention Network for Fine-Grained Visual Classification	Aug 6, 2018	ClassificationFine-Grained Image Classification	—Unverified
Weakly Supervised Classification in High Energy Physics	Feb 1, 2017	BIG-bench Machine LearningBinary Classification	—Unverified
Weakly Supervised Classification Using Group-Level Labels	Aug 16, 2021	Binary ClassificationClassification	—Unverified
Weakly supervised clustering: Learning fine-grained signals from coarse labels	Oct 4, 2013	ClassificationClustering	—Unverified
Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation	Nov 1, 2019	ClassificationCross-Lingual Transfer	—Unverified
Weakly-supervised Generative Adversarial Networks for medical image classification	Nov 29, 2021	ClassificationContrastive Learning	—Unverified
Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification	Jun 12, 2021	ClassificationDrug Design	—Unverified
Weakly Supervised Image Classification Through Noise Regularization	Jun 1, 2019	ClassificationGeneral Classification	—Unverified
Weakly-supervised Joint Anomaly Detection and Classification	Aug 20, 2021	Anomaly DetectionClassification	—Unverified
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer	Jan 7, 2023	ClassificationDiagnostic	—Unverified
Historical Credibility for Movie Reviews and Its Application to Weakly Supervised Classification	Oct 10, 2020	ClassificationWeakly Supervised Classification	—Unverified
Weakly Supervised Learning on Large Graphs	Jan 2, 2025	ClassificationGraph Attention	—Unverified
Weakly-Supervised Localization and Classification of Proximal Femur Fractures	Sep 27, 2018	ClassificationGeneral Classification	—Unverified
Weakly Supervised Object Localization With Progressive Domain Adaptation	Jun 1, 2016	ClassificationDomain Adaptation	—Unverified
Weakly Supervised Posture Mining for Fine-Grained Classification	Jan 1, 2023	AttributeClassification	—Unverified

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All datasets InDL MHIST N-ImageNet SPOT-10 Full-body Parkinson’s disease dataset Autoimmune Dataset N-CARS N-ImageNet (mini)ImageNet C-OOD (class-out-of-distribution)CWRU Bearing Dataset Burr classification images ForgeryNet

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ConvNext	Average Recall	93.47	—	Unverified
2	VGG16	Average Recall	92.86	—	Unverified
3	DenseNet201	Average Recall	90.99	—	Unverified
4	Inception ResNet V2	Average Recall	90.27	—	Unverified
5	Xception	Average Recall	89.81	—	Unverified
6	NASNetLarge	Average Recall	89.52	—	Unverified
7	Darknet53	Average Recall	88.53	—	Unverified
8	ResNetV2_50	Average Recall	88.08	—	Unverified
9	MobileNetV3	Average Recall	84.28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MoCo-v2 (ResNet-50)	Accuracy	88.03	—	Unverified
2	MoCo-v2 (ResNet-50)	Accuracy	85.88	—	Unverified
3	Barlow Twins (ResNet-50)	Accuracy	84.03	—	Unverified
4	SwAV (ResNet-50)	Accuracy	83.21	—	Unverified
5	Supervised (ViT-S/16)	Accuracy	81.68	—	Unverified
6	Barlow Rwins (ResNet-50)	Accuracy	81.27	—	Unverified
7	DINO (ViT-S/16)	Accuracy	79.43	—	Unverified
8	Supervised (ResNet-50)	Accuracy	78.92	—	Unverified
9	SwAV (ResNet-50)	Accuracy	77.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Event Spike Tensor	Accuracy (%)	48.93	—	Unverified
2	DiST	Accuracy (%)	48.43	—	Unverified
3	Sorted Time Surface	Accuracy (%)	47.9	—	Unverified
4	Event Histogram	Accuracy (%)	47.73	—	Unverified
5	HATS	Accuracy (%)	47.14	—	Unverified
6	Binary Event Image	Accuracy (%)	46.36	—	Unverified
7	Timestamp Image	Accuracy (%)	45.86	—	Unverified
8	Event Image	Accuracy (%)	45.77	—	Unverified
9	Time Surface	Accuracy (%)	44.32	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DenseNet121 Distiller	Accuracy	81.84	—	Unverified
2	ResNet101V2 Distiller	Accuracy	80.29	—	Unverified
3	ResNet50V2 Distiller	Accuracy	79.03	—	Unverified
4	MobileNet Distiller	Accuracy	78.26	—	Unverified
5	MobileNetV3Small Distiller	Accuracy	78.04	—	Unverified
6	MobileNetV3Large Distiller	Accuracy	77.88	—	Unverified
7	NASNetMobile Distiller	Accuracy	77.75	—	Unverified
8	MobileNetV2 Distiller	Accuracy	77.53	—	Unverified
9	ResNet50 Distiller	Accuracy	77.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PoseFormerV2	F1-score (weighted)	0.59	—	Unverified
2	PD STGCN	F1-score (weighted)	0.48	—	Unverified
3	MotionBERT	F1-score (weighted)	0.47	—	Unverified
4	Pose Transformers (POTR)	F1-score (weighted)	0.46	—	Unverified
5	MotionBERT-LITE	F1-score (weighted)	0.43	—	Unverified
6	MotionAGFormer	F1-score (weighted)	0.42	—	Unverified
7	Mixste	F1-score (weighted)	0.41	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Swin Transformer Base (Patch 4 Window 12)	F1 score	0.89	—	Unverified
2	CASS	F1 score	0.89	—	Unverified
3	CASS	F1 score	0.87	—	Unverified
4	DINO	F1 score	0.86	—	Unverified
5	DINO	F1 score	0.84	—	Unverified
6	VANBUREN et all	F1 score	0.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MEM	Accuracy (%)	98.55	—	Unverified
2	GET	Accuracy (%)	96.7	—	Unverified
3	ResNet34 + EST	Accuracy (%)	92.5	—	Unverified
4	Spiking VGG-11	Accuracy (%)	92.4	—	Unverified
5	Spiking MobileNet-64	Accuracy (%)	91.7	—	Unverified
6	Spiking DenseNet121-24	Accuracy (%)	90.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Event Imge	Accuracy (%)	61.42	—	Unverified
2	Event Histogram	Accuracy (%)	61.02	—	Unverified
3	Timestamp Image	Accuracy (%)	60.46	—	Unverified
4	DiST	Accuracy (%)	59.74	—	Unverified
5	Sorted Time Surface	Accuracy (%)	58.38	—	Unverified
6	Binary Event Image	Accuracy (%)	53.52	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ViT-L/32-384 with Max-logit	Detection AUROC (severity 0)	1	—	Unverified
2	ViT-L/32-384 with ODIN	Detection AUROC (severity 0)	1	—	Unverified
3	ViT-L/32-384 with Entropy	Detection AUROC (severity 0)	0.99	—	Unverified
4	ViT-L/32-384 with MC Dropout	Detection AUROC (severity 0)	0.99	—	Unverified
5	ViT-L/32-384 with Softmax	Detection AUROC (severity 0)	0.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MixMamba-Fewshot	10 fold Cross validation	99.93	—	Unverified
2	Few-shot Transformer Covariance	10 fold Cross validation	99.86	—	Unverified
3	MCNN-LSTM	10 fold Cross validation	98.46	—	Unverified
4	CNN	10 fold Cross validation	7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	70_divisions	precision	93.2	—	Unverified
2	60_divisions	precision	93.2	—	Unverified
3	80_divisions	precision	93.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MINTIME-XC	AUC	94.25	—	Unverified
2	SlowFast R-50	AUC	90.86	—	Unverified
3	MINTIME-EF	AUC	90.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DenseNet121	Robustness Score	0.91	—	Unverified
2	ResNet 50	Robustness Score	0.9	—	Unverified
3	VGG-16	Robustness Score	0.88	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BIOSCAN_1M_order_classifier	Macro F1	92.65	—	Unverified
2	BIOSCAN_1M_family_classifier	Macro F1	91.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	62.5	—	Unverified
2	OPT-125M	Test Accuracy	61.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	75.71	—	Unverified
2	OPT-125M	Test Accuracy	75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GPT-4	1 shot Micro-F1	96.86	—	Unverified
2	BiLSTM-CRF	1 shot Micro-F1	82.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SVM	F1-score (Weighted)	86.19	—	Unverified
2	RoBERTa	F1-score (Weighted)	78.13	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GLNet	1:1 Accuracy	95.07	—	Unverified
2	CPM	1:1 Accuracy	50	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	60.89	—	Unverified
2	OPT-125M	Test Accuracy	57.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ELM Neuron	Accuracy (%)	82	—	Unverified
2	LSTM	Accuracy (%)	10	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	90.78	—	Unverified
2	OPT-125M	Test Accuracy	85.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	56.14	—	Unverified
2	OPT-125M	Test Accuracy	53.38	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OPT-1.3B	Test Accuracy	64.16	—	Unverified
2	OPT-125M	Test Accuracy	59.59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MambaNet	AUROC	0.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RandomForestClassifier	Accuracy	82	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN + Attention + LSTM + CNN	Accuracy (%)	86.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	WeaSEL	1:1 Accuracy	86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DINO	F1 score	0.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AAPSO-Deep Feature Selection	Accuracy	98.41	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN	Validation Accuracy	93.55	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet8×4	Accuracy	77.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ViT-L/16 (Background)	Accuracy on Brightness Corrupted Images	99.03	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Random Forest	AUC	0.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	lstm	Accuracy	0.72	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MSTP	Accuracy	95.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RECALL	Overall accuracy after last sequence	57.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RECALL	Overall accuracy after last sequence	4,065	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RRWNet	Accuracy	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TD-CNN- Attention	F1 score	99.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CLIP-RN50x64	1-of-100 Accuracy	61	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SVM	F1 (%)	97.72	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RRWNet	Accuracy	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HSQformer	AUC	83.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	WaferSegClassNet	Accuracy	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	C-Tran, preprocessing, augmentation	ML F1	0.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	μ RadNet	1:1 Accuracy	99.22	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Resnet 50	Accuracy (% )	92.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RRWNet	Accuracy	0.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	pFedBreD_ns_mg	Accuracy	73.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SGD_ss	F1 (Seqeval)	2,020	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LangGas	Frame Level Accuracy	0.89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1DCNN-ResNet	macro f1 score (A(100), B(100), C(100) Avg.)	0.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BRIDGE	Accuracy	25.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MSI-H Transformer	AUPRC	0.58	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BRIDGE	Accuracy	42.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BRIDGE	Accuracy	36.2	—	Unverified