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 6601–6650 of 12815 papers

Title	Date	Tasks	Status
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification	Dec 11, 2019	ClassificationDictionary Learning	—Unverified
RPCA-Based High Resolution Through-the-Wall Human Motion Detection and Classification	Jan 29, 2020	ClassificationMotion Detection	—Unverified
RPT++: Customized Feature Representation for Siamese Visual Tracking	Oct 23, 2021	ClassificationState Estimation	—Unverified
RTFN: A Robust Temporal Feature Network for Time Series Classification	Nov 24, 2020	ClassificationGeneral Classification	—Unverified
Rule-Based Classification of Hyperspectral Imaging Data	Jul 21, 2021	ClassificationGeneral Classification	—Unverified
Rule-Based Weibo Messages Sentiment Polarity Classification towards Given Topics	Jul 1, 2015	ClassificationGeneral Classification	—Unverified
Rule Extraction Algorithm for Deep Neural Networks: A Review	Sep 16, 2016	ClassificationGeneral Classification	—Unverified
Rule Mining for Correcting Classification Models	Oct 10, 2023	Classification	—Unverified
RUMC: A Rule-based Classifier Inspired by Evolutionary Methods	Dec 10, 2024	Classification	—Unverified
Rumor Detection and Classification for Twitter Data	Nov 25, 2019	ClassificationGeneral Classification	—Unverified
RW-NSGCN: A Robust Approach to Structural Attacks via Negative Sampling	Aug 13, 2024	Anomaly DetectionClassification	—Unverified
S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images	Apr 1, 2024	ClassificationContrastive Learning	—Unverified
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification	Feb 22, 2023	3D Point Cloud ClassificationClassification	—Unverified
Saccade Mechanisms for Image Classification, Object Detection and Tracking	Jun 10, 2022	Classificationimage-classification	—Unverified
SA-CNN: Application to text categorization issues using simulated annealing-based convolutional neural network optimization	Mar 13, 2023	ClassificationText Categorization	—Unverified
SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks	Feb 17, 2015	ClassificationGeneral Classification	—Unverified
SAF- BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression	Mar 13, 2018	Age And Gender ClassificationClassification	—Unverified
SAFE-DNN: A Deep Neural Network with Spike Assisted Feature Extraction for Noise Robust Inference	Sep 25, 2019	Classification	—Unverified
Safeguarding Federated Learning-based Road Condition Classification	Jul 16, 2025	Autonomous DrivingClassification	—Unverified
Safer Classification by Synthesis	Nov 22, 2017	ClassificationGeneral Classification	—Unverified
SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images	Nov 15, 2020	ClassificationData Augmentation	—Unverified
SAIC: Integration of Speech Anonymization and Identity Classification	Dec 23, 2023	ClassificationDe-identification	—Unverified
Saliency-Aware Regularized Graph Neural Network	Jan 1, 2024	ClassificationGraph Classification	—Unverified
Saliency-based Sequential Image Attention with Multiset Prediction	Nov 14, 2017	ClassificationGeneral Classification	—Unverified
Saliency-based Weighted Multi-label Linear Discriminant Analysis	Apr 8, 2020	ClassificationGeneral Classification	—Unverified
Saliency-guided video classification via adaptively weighted learning	Mar 23, 2017	ClassificationGeneral Classification	—Unverified
Saliency Map Based Data Augmentation	May 29, 2022	ClassificationData Augmentation	—Unverified
Salient Explanation for Fine-grained Classification	Sep 25, 2019	ClassificationObject Recognition	—Unverified
SalProp: Salient object proposals via aggregated edge cues	Jun 14, 2017	ClassificationEdge Classification	—Unverified
Same Side Stance Classification Task: Facilitating Argument Stance Classification by Fine-tuning a BERT Model	Apr 23, 2020	Argument MiningClassification	—Unverified
SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data	Apr 1, 2018	ClassificationGeneral Classification	—Unverified
Sample Complexity of Adversarially Robust Linear Classification on Separated Data	Dec 19, 2020	Adversarial RobustnessClassification	—Unverified
Sample Complexity of Nonparametric Semi-Supervised Learning	Sep 10, 2018	Binary ClassificationClassification	—Unverified
Sample Dropout for Audio Scene Classification Using Multi-Scale Dense Connected Convolutional Neural Network	Jun 12, 2018	Acoustic Scene ClassificationClassification	—Unverified
Sample Size Planning for Classification Models	Nov 6, 2012	ClassificationGeneral Classification	—Unverified
Sandbox Sample Classification Using Behavioral Indicators of Compromise	Jan 18, 2022	Classificationregression	—Unverified
Sapinet: A sparse event-based spatiotemporal oscillator for learning in the wild	Apr 13, 2022	ClassificationDenoising	—Unverified
SAR and Optical data fusion based on Anisotropic Diffusion with PCA and Classification using Patch-based with LBP	Jan 20, 2021	ClassificationGeneral Classification	—Unverified
SARS-Cov-2 RNA Sequence Classification Based on Territory Information	Jan 9, 2021	ClassificationGeneral Classification	—Unverified
SAS: A Simple, Accurate and Scalable Node Classification Algorithm	Apr 19, 2021	ClassificationGeneral Classification	—Unverified
Satellite image classification and segmentation using non-additive entropy	Jan 10, 2014	ClassificationGeneral Classification	—Unverified
Satellite image classification methods and Landsat 5TM bands	Aug 8, 2013	ClassificationGeneral Classification	—Unverified
Satellite Image Classification with Deep Learning	Oct 13, 2020	ClassificationDeep Learning	—Unverified
Satellite image classification with neural quantum kernels	Sep 30, 2024	ClassificationEarth Observation	—Unverified
Satellite Image Scene Classification via ConvNet with Context Aggregation	Jul 12, 2018	ClassificationScene Classification	—Unverified
SatImNet: Structured and Harmonised Training Data for Enhanced Satellite Imagery Classification	Jun 18, 2020	ClassificationGeneral Classification	—Unverified
SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models	Apr 23, 2023	ClassificationDiversity	—Unverified
Scalable and Weakly Supervised Bank Transaction Classification	May 28, 2023	Classification	—Unverified
Scalable Cross Validation Losses for Gaussian Process Models	May 24, 2021	ClassificationMulti-class Classification	—Unverified
Scalable Gaussian Process Classification via Expectation Propagation	Jul 16, 2015	ClassificationGeneral Classification	—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