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 8101–8150 of 12815 papers

Title	Date	Tasks	Status
Fine-grained Intent Classification in the Legal Domain	May 6, 2022	Classificationintent-classification	—Unverified
Fine-Grained Propaganda Detection with Fine-Tuned BERT	Nov 1, 2019	ArticlesClassification	—Unverified
Fine-grained Recognition Datasets for Biodiversity Analysis	Jul 3, 2015	ClassificationFine-Grained Image Classification	—Unverified
Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings: A Detailed Annotation Framework and Multi-Label Classification Model	Apr 15, 2025	ClassificationMulti-Label Classification	—Unverified
Fine-grained TLS services classification with reject option	Feb 24, 2022	Classification	—Unverified
Fine-Grained Vehicle Classification in Urban Traffic Scenes using Deep Learning	Nov 17, 2021	ClassificationFine-Grained Vehicle Classification	—Unverified
Fine-Grained Vehicle Classification with Unsupervised Parts Co-occurrence Learning	Jan 23, 2019	ClassificationFine-Grained Image Classification	—Unverified
Fine-Grained Visual Classification of Aircraft	Jun 21, 2013	ClassificationFine-Grained Image Classification	—Unverified
Fine-Grained Visual Classification with Efficient End-to-end Localization	May 11, 2020	ClassificationFine-Grained Image Classification	—Unverified
Fine-Grained Visual Classification with Batch Confusion Norm	Oct 28, 2019	ClassificationFine-Grained Image Classification	—Unverified
CLAREL: Classification via retrieval loss for zero-shot learning	May 31, 2019	ClassificationGeneral Classification	—Unverified
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors	May 23, 2020	ClassificationFew-Shot Learning	—Unverified
FineTag: Multi-attribute Classification at Fine-grained Level in Images	Jun 19, 2018	AttributeClassification	—Unverified
FineText: Text Classification via Attention-based Language Model Fine-tuning	Oct 25, 2019	BenchmarkingClassification	—Unverified
Fine-to-coarse Knowledge Transfer For Low-Res Image Classification	May 21, 2016	ClassificationGeneral Classification	—Unverified
Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels	Oct 22, 2019	ClassificationGeneral Classification	—Unverified
Fine-tuning Convolutional Neural Networks for fine art classification	Dec 30, 2018	Artist classificationArtistic style classification	—Unverified
Fine-Tuning DARTS for Image Classification	Jun 16, 2020	ClassificationFine-Grained Image Classification	—Unverified
Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection	Jan 22, 2024	Binary ClassificationClassification	—Unverified
Fine Tuning Large Language Models for Medicine: The Role and Importance of Direct Preference Optimization	Sep 19, 2024	ClassificationLanguage Modeling	—Unverified
Fine-Tuning Large Language Models for Scientific Text Classification: A Comparative Study	Nov 27, 2024	Classificationtext-classification	—Unverified
Fine Tuning Method by using Knowledge Acquisition from Deep Belief Network	Jul 10, 2018	ClassificationGeneral Classification	—Unverified
Fine-Tuning Models Comparisons on Garbage Classification for Recyclability	Aug 7, 2019	ClassificationGeneral Classification	—Unverified
Fine-tuning Neural Language Models for Multidimensional Opinion Mining of English-Maltese Social Data	Sep 1, 2021	ClassificationOpinion Mining	—Unverified
Fine-tuning of explainable CNNs for skin lesion classification based on dermatologists' feedback towards increasing trust	Apr 3, 2023	ClassificationLesion Classification	—Unverified
Fingerprint Classification Based on Depth Neural Network	Sep 18, 2014	ClassificationGeneral Classification	—Unverified
FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications	Mar 18, 2024	Algorithmic TradingArticles	—Unverified
FIRE-DES++: Enhanced Online Pruning of Base Classifiers for Dynamic Ensemble Selection	Oct 1, 2018	ClassificationGeneral Classification	—Unverified
First-Person Perceptual Guidance Behavior Decomposition using Active Constraint Classification	Oct 18, 2017	ClassificationGeneral Classification	—Unverified
Fisher Vectors Meet Neural Networks: A Hybrid Classification Architecture	Aug 15, 2015	ClassificationGeneral Classification	—Unverified
FishNet: Deep Neural Networks for Low-Cost Fish Stock Estimation	Mar 16, 2024	Classificationobject-detection	—Unverified
Fixflow: A Framework to Evaluate Fixed-point Arithmetic in Light-Weight CNN Inference	Feb 19, 2023	ClassificationQuantization	—Unverified
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning	Feb 27, 2023	ClassificationFederated Learning	—Unverified
FLamE: Few-shot Learning from Natural Language Explanations	Jun 13, 2023	ClassificationFew-Shot Learning	—Unverified
Flatness Improves Backbone Generalisation in Few-shot Classification	Apr 11, 2024	Classification	—Unverified
FLAVARS: A Multimodal Foundational Language and Vision Alignment Model for Remote Sensing	Jan 14, 2025	ClassificationContrastive Learning	—Unverified
Flexible High-dimensional Classification Machines and Their Asymptotic Properties	Oct 11, 2013	ClassificationGeneral Classification	—Unverified
Flexible infinite-width graph convolutional networks and the importance of representation learning	Feb 9, 2024	ClassificationGraph Classification	—Unverified
Flexible Job Classification with Zero-Shot Learning	Aug 30, 2022	ClassificationDocument Classification	—Unverified
Flexible Sampling for Long-tailed Skin Lesion Classification	Apr 7, 2022	ClassificationLesion Classification	—Unverified
Flip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural Networks for Image Classification	Jul 31, 2015	ClassificationGeneral Classification	—Unverified
Flower Categorization using Deep Convolutional Neural Networks	Aug 12, 2017	ClassificationGeneral Classification	—Unverified
Flow-Packet Hybrid Traffic Classification for Class-Aware Network Routing	Apr 30, 2021	BIG-bench Machine LearningClassification	—Unverified
Fluorescence angiography classification in colorectal surgery -- A preliminary report	Jun 13, 2022	Classification	—Unverified
Flying Insect Classification with Inexpensive Sensors	Mar 11, 2014	AttributeClassification	—Unverified
FMiFood: Multi-modal Contrastive Learning for Food Image Classification	Aug 7, 2024	ClassificationContrastive Learning	—Unverified
fMRI: preprocessing, classification and pattern recognition	Apr 26, 2018	ClassificationGeneral Classification	—Unverified
Focal Modulation Networks for Interpretable Sound Classification	Feb 5, 2024	ClassificationEnvironmental Sound Classification	—Unverified
FOC OSOD: Focus on Classification One-Shot Object Detection	Jan 1, 2021	ClassificationGeneral Classification	—Unverified
Focused Active Learning for Histopathological Image Classification	Apr 6, 2024	Active LearningClassification	—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