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 801–850 of 12815 papers

Title	Date	Tasks	Status	Hype
A Closer Look at Few-shot Classification Again	Jan 28, 2023	ClassificationRepresentation Learning	CodeCode Available	1
Image and Text fusion for UPMC Food-101 \ BERT and CNNs	Dec 17, 2020	ClassificationDocument Text Classification	CodeCode Available	1
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark	Oct 24, 2021	ClassificationMeta-Learning	CodeCode Available	1
Image Classification by Reinforcement Learning with Two-State Q-Learning	Jun 28, 2020	ClassificationGeneral Classification	CodeCode Available	1
Image Classification With Small Datasets: Overview and Benchmark	May 5, 2022	Classificationimage-classification	CodeCode Available	1
Image Classification with Small Datasets: Overview and Benchmark	Dec 23, 2022	Classificationimage-classification	CodeCode Available	1
Atrial Fibrillation Detection and ECG Classification based on CNN-BiLSTM	Nov 12, 2020	Atrial Fibrillation DetectionClassification	CodeCode Available	1
ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks	Jun 5, 2021	AttributeClassification	CodeCode Available	1
Improving Cross-domain Few-shot Classification with Multilayer Perceptron	Dec 15, 2023	ClassificationCross-Domain Few-Shot	CodeCode Available	1
Improving Deep Regression with Ordinal Entropy	Jan 21, 2023	ClassificationCrowd Counting	CodeCode Available	1
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification	Nov 1, 2023	ClassificationLanguage Modelling	CodeCode Available	1
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning	Feb 1, 2020	ClassificationGeneral Classification	CodeCode Available	1
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining	Aug 8, 2023	Classificationimage-classification	CodeCode Available	1
Improving Self-Organizing Maps with Unsupervised Feature Extraction	Sep 4, 2020	ClassificationGeneral Classification	CodeCode Available	1
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System	Apr 24, 2021	ClassificationFew-Shot Text Classification	CodeCode Available	1
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers	Feb 12, 2022	Classificationimage-classification	CodeCode Available	1
A data-centric approach for assessing progress of Graph Neural Networks	Jun 18, 2024	ClassificationMulti-class Classification	CodeCode Available	1
InducT-GCN: Inductive Graph Convolutional Networks for Text Classification	Jun 1, 2022	ClassificationGraph Neural Network	CodeCode Available	1
Influence-Balanced Loss for Imbalanced Visual Classification	Oct 6, 2021	ClassificationLong-tail Learning	CodeCode Available	1
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective	Oct 10, 2023	ClassificationContinual Learning	CodeCode Available	1
Instance-based Counterfactual Explanations for Time Series Classification	Sep 28, 2020	Classificationcounterfactual	CodeCode Available	1
Instance Localization for Self-supervised Detection Pretraining	Feb 16, 2021	ClassificationGeneral Classification	CodeCode Available	1
A Broad Ensemble Learning System for Drifting Stream Classification	Oct 7, 2021	ClassificationEnsemble Learning	CodeCode Available	1
Interactive Classification by Asking Informative Questions	Nov 9, 2019	ClassificationGeneral Classification	CodeCode Available	1
Interactive Segmentation as Gaussian Process Classification	Feb 28, 2023	Binary ClassificationClassification	CodeCode Available	1
Interactive Segmentation As Gaussion Process Classification	Jan 1, 2023	Binary ClassificationClassification	CodeCode Available	1
Interpretable Alzheimer's Disease Classification Via a Contrastive Diffusion Autoencoder	Jun 5, 2023	ClassificationDeep Learning	CodeCode Available	1
Analysis and Comparison of Classification Metrics	Sep 12, 2022	Classification	CodeCode Available	1
Adversarial Feature Augmentation for Cross-domain Few-shot Classification	Aug 23, 2022	ClassificationCross-Domain Few-Shot	CodeCode Available	1
Interpretation of 3D CNNs for Brain MRI Data Classification	Jun 20, 2020	ClassificationGeneral Classification	CodeCode Available	1
A Tensor SVD-based Classification Algorithm Applied to fMRI Data	Oct 31, 2021	Classification	CodeCode Available	1
Interpretable Time-series Classification on Few-shot Samples	Jun 3, 2020	ClassificationFew-Shot Learning	CodeCode Available	1
Interpreting and Correcting Medical Image Classification with PIP-Net	Jul 19, 2023	ClassificationDecision Making	CodeCode Available	1
Evaluation of post-hoc interpretability methods in time-series classification	Feb 11, 2022	ClassificationTime Series	CodeCode Available	1
Attentional-Biased Stochastic Gradient Descent	Dec 13, 2020	ClassificationGeneral Classification	CodeCode Available	1
SimCC: a Simple Coordinate Classification Perspective for Human Pose Estimation	Jul 7, 2021	ClassificationPose Estimation	CodeCode Available	1
Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimization	Feb 1, 2022	ClassificationSemantic Segmentation	CodeCode Available	1
ITALIC: An Italian Intent Classification Dataset	Jun 14, 2023	Classificationintent-classification	CodeCode Available	1
JigsawHSI: a network for Hyperspectral Image classification	Jun 6, 2022	ClassificationHyperspectral Image Classification	CodeCode Available	1
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer	Jul 25, 2022	ClassificationDomain Generalization	CodeCode Available	1
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing	May 27, 2020	ClassificationGeneral Classification	CodeCode Available	1
Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image Classification	Jun 27, 2022	Classificationimage-classification	CodeCode Available	1
Knowledge-Aware Meta-learning for Low-Resource Text Classification	Sep 10, 2021	ClassificationMeta-Learning	CodeCode Available	1
Analysis of skin lesion images with deep learning	Jan 11, 2021	ClassificationData Augmentation	CodeCode Available	1
Adversarial Feature Augmentation and Normalization for Visual Recognition	Mar 22, 2021	ClassificationData Augmentation	CodeCode Available	1
KOLD: Korean Offensive Language Dataset	May 23, 2022	ArticlesClassification	CodeCode Available	1
Label Confusion Learning to Enhance Text Classification Models	Dec 9, 2020	ClassificationGeneral Classification	CodeCode Available	1
Label Contrastive Coding based Graph Neural Network for Graph Classification	Jan 14, 2021	ClassificationContrastive Learning	CodeCode Available	1
Label-Imbalanced and Group-Sensitive Classification under Overparameterization	Mar 2, 2021	ClassificationGeneral Classification	CodeCode Available	1
A Survey of Deep Learning Techniques for Weed Detection from Images	Mar 2, 2021	ClassificationGeneral Classification	CodeCode Available	1

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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	80_divisions	precision	93.2	—	Unverified
3	60_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