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 3551–3600 of 12815 papers

Title	Date	Tasks	Status	Score
BrazilDAM: A Benchmark dataset for Tailings Dam Detection	Mar 17, 2020	Binary ClassificationClassification	CodeCode Available	5
DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks	Oct 30, 2014	ClassificationGeneral Classification	CodeCode Available	5
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos	Apr 13, 2023	Action LocalizationClassification	CodeCode Available	5
DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification	Nov 15, 2019	ClassificationGeneral Classification	CodeCode Available	5
Deep Short Text Classification with Knowledge Powered Attention	Feb 21, 2019	ClassificationGeneral Classification	CodeCode Available	5
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels	May 24, 2018	Bilevel OptimizationClassification	CodeCode Available	5
Decorrelative Network Architecture for Robust Electrocardiogram Classification	Jul 19, 2022	Adversarial AttackAdversarial Defense	CodeCode Available	5
Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection	Oct 5, 2018	ClassificationGeneral Classification	CodeCode Available	5
Anomaly-aware multiple instance learning for rare anemia disorder classification	Jul 4, 2022	ClassificationDiversity	CodeCode Available	5
A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities	Jul 3, 2018	ClassificationGeneral Classification	CodeCode Available	5
Classification with Costly Features in Hierarchical Deep Sets	Nov 20, 2019	ClassificationClassification with Costly Features	CodeCode Available	5
Robustness for Non-Parametric Classification: A Generic Attack and Defense	Jun 7, 2019	Adversarial AttackAdversarial Defense	CodeCode Available	5
Deep Reinforcement One-Shot Learning for Artificially Intelligent Classification Systems	Aug 4, 2018	ClassificationGeneral Classification	CodeCode Available	5
DeepSat - A Learning framework for Satellite Imagery	Sep 11, 2015	ClassificationDenoising	CodeCode Available	5
DeepSign: Deep Learning for Automatic Malware Signature Generation and Classification	Nov 21, 2017	ClassificationDeep Learning	CodeCode Available	5
Deep Recurrent Neural Networks for Supernovae Classification	Jun 23, 2016	ClassificationGeneral Classification	CodeCode Available	5
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation	Jul 12, 2016	ClassificationDomain Adaptation	CodeCode Available	5
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification	Jul 29, 2023	ClassificationImmune Repertoire Classification	CodeCode Available	5
Deep Reinforcement Learning for Imbalanced Classification	Jan 5, 2019	ClassificationDecision Making	CodeCode Available	5
Non-parametric Uni-modality Constraints for Deep Ordinal Classification	Nov 25, 2019	ClassificationGeneral Classification	CodeCode Available	5
SpecRepair: Counter-Example Guided Safety Repair of Deep Neural Networks	Jun 3, 2021	Classificationimage-classification	CodeCode Available	5
Deep Patch Learning for Weakly Supervised Object Classification and Discovery	May 6, 2017	ClassificationGeneral Classification	CodeCode Available	5
Spatio-temporal crop classification of low-resolution satellite imagery with capsule layers and distributed attention	Apr 23, 2019	ClassificationCrop Classification	CodeCode Available	5
Brain Network Construction and Classification Toolbox (BrainNetClass)	Jun 17, 2019	ClassificationFunctional Connectivity	CodeCode Available	5
BrainNetMLP: An Efficient and Effective Baseline for Functional Brain Network Classification	May 14, 2025	Classification	CodeCode Available	5
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification	Jun 21, 2018	Action SegmentationClassification	CodeCode Available	5
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer	Jul 20, 2021	ClassificationMultiple Instance Learning	CodeCode Available	5
SpeckleNN: A unified embedding for real-time speckle pattern classification in X-ray single-particle imaging with limited labeled examples	Feb 14, 2023	Classification	CodeCode Available	5
Azimuth: Systematic Error Analysis for Text Classification	Dec 16, 2022	Classificationtext-classification	CodeCode Available	5
Deep Neural Network Ensembles for Time Series Classification	Mar 15, 2019	AttributeClassification	CodeCode Available	5
Brain MRI analysis using a deep learning based evolutionary approach	Jun 10, 2020	ClassificationDeep Learning	CodeCode Available	5
Deep brain state classification of MEG data	Jul 2, 2020	Brain DecodingClassification	CodeCode Available	5
A Comparative Study on Machine Learning-based Approaches for Improving Traffic Accident Severity Prediction	Nov 2, 2021	ClassificationCrash injury severity	CodeCode Available	5
Squeezed Very Deep Convolutional Neural Networks for Text Classification	Jan 28, 2019	ClassificationGeneral Classification	CodeCode Available	5
Deep Neural Networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer	Dec 13, 2022	Classificationwhole slide images	CodeCode Available	5
Brain-inspired interpretable reservoir computing with resonant recurrent neural networks	Jun 20, 2025	Classification	CodeCode Available	5
Adversarial Examples for Extreme Multilabel Text Classification	Dec 14, 2021	ClassificationMultilabel Text Classification	CodeCode Available	5
Stable Attribute Group Editing for Reliable Few-shot Image Generation	Feb 1, 2023	AttributeClassification	CodeCode Available	5
Deep Neural Network Compression for Image Classification and Object Detection	Oct 7, 2019	ClassificationClustering	CodeCode Available	5
STACC: Code Comment Classification using SentenceTransformers	Feb 25, 2023	Classification	CodeCode Available	5
Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment	Jan 1, 2023	ClassificationDomain Adaptation	CodeCode Available	5
A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification using SpykeFlow	Feb 26, 2020	ClassificationGeneral Classification	CodeCode Available	5
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and Classification	Feb 11, 2019	ClassificationGeneral Classification	CodeCode Available	5
Channel selection using Gumbel Softmax	Dec 11, 2018	channel selectionClassification	CodeCode Available	5
Deep Network Classification by Scattering and Homotopy Dictionary Learning	Oct 8, 2019	ClassificationDictionary Learning	CodeCode Available	5
Deep Neural Network Architectures for Modulation Classification	Dec 1, 2017	ClassificationGeneral Classification	CodeCode Available	5
DeepMUSIC: Multiple Signal Classification via Deep Learning	Dec 9, 2019	ClassificationDeep Learning	CodeCode Available	5
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features	May 11, 2021	ClassificationDeep Learning	CodeCode Available	5
META^2: Memory-efficient taxonomic classification and abundance estimation for metagenomics with deep learning	Sep 28, 2019	ClassificationDeep Learning	CodeCode Available	5
Deep N-ary Error Correcting Output Codes	Sep 22, 2020	ClassificationEnsemble Learning	CodeCode Available	5

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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