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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 301–350 of 12815 papers

Title	Date	Tasks	Status	Hype
A Survey on Text Classification: From Shallow to Deep Learning	Aug 2, 2020	ClassificationDeep Learning	CodeCode Available	1
Audio classification with Dilated Convolution with Learnable Spacings	Sep 25, 2023	Audio ClassificationAudio Tagging	CodeCode Available	1
Adaptive Differential Denoising for Respiratory Sounds Classification	Jun 3, 2025	Audio ClassificationClassification	CodeCode Available	1
Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image Classification	Jan 22, 2022	ClassificationHyperspectral Image Classification	CodeCode Available	1
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering Framework	Oct 6, 2022	ClassificationData Augmentation	CodeCode Available	1
A Universal Representation Transformer Layer for Few-Shot Image Classification	Jun 21, 2020	ClassificationDomain Generalization	CodeCode Available	1
A Tensor SVD-based Classification Algorithm Applied to fMRI Data	Oct 31, 2021	Classification	CodeCode Available	1
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations	Oct 7, 2021	ClassificationMedical Image Segmentation	CodeCode Available	1
Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task Learning	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers	Mar 24, 2021	ClassificationData Augmentation	CodeCode Available	1
Background Data Resampling for Outlier-Aware Classification	Jun 1, 2020	ClassificationGeneral Classification	CodeCode Available	1
Bacteriophage classification for assembled contigs using Graph Convolutional Network	Feb 7, 2021	ClassificationDiversity	CodeCode Available	1
A Transformer-based deep neural network model for SSVEP classification	Oct 9, 2022	Brain Computer InterfaceClassification	CodeCode Available	1
Bag of Tricks for Node Classification with Graph Neural Networks	Mar 24, 2021	ClassificationGeneral Classification	CodeCode Available	1
Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification	Oct 21, 2021	ClassificationHyperspectral Image Classification	CodeCode Available	1
Balanced-MixUp for Highly Imbalanced Medical Image Classification	Sep 20, 2021	Classificationimage-classification	CodeCode Available	1
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes	Jul 20, 2020	ClassificationGaussian Processes	CodeCode Available	1
BCN: Batch Channel Normalization for Image Classification	Dec 1, 2023	Classificationimage-classification	CodeCode Available	1
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization	Jul 9, 2021	ClassificationDomain Adaptation	CodeCode Available	1
Attention-based Bidirectional LSTM for Deceptive Opinion Spam Classification	Dec 29, 2021	ClassificationDecision Making	CodeCode Available	1
A Survey of Classical And Quantum Sequence Models	Dec 15, 2023	Classificationimage-classification	CodeCode Available	1
BERT got a Date: Introducing Transformers to Temporal Tagging	Sep 30, 2021	ClassificationDecoder	CodeCode Available	1
Active Learning for BERT: An Empirical Study	Nov 1, 2020	Active LearningBinary text classification	CodeCode Available	1
Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification	Jul 21, 2022	ClassificationPoint Cloud Classification	CodeCode Available	1
BiasPruner: Debiased Continual Learning for Medical Image Classification	Jul 11, 2024	ClassificationContinual Learning	CodeCode Available	1
Active Learning for Deep Object Detection via Probabilistic Modeling	Mar 30, 2021	Active LearningClassification	CodeCode Available	1
Binocular Mutual Learning for Improving Few-shot Classification	Aug 27, 2021	ClassificationDecision Making	CodeCode Available	1
A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset	Jul 19, 2023	Classification	CodeCode Available	1
Boosting Few-Shot Classification with View-Learnable Contrastive Learning	Jul 20, 2021	ClassificationContrastive Learning	CodeCode Available	1
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion	Feb 7, 2023	ClassificationDiversity	CodeCode Available	1
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning	Feb 16, 2020	ClassificationGeneral Classification	CodeCode Available	1
Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection	Aug 28, 2023	Binary ClassificationClassification	CodeCode Available	1
BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images	Jul 10, 2021	ClassificationDiagnostic	CodeCode Available	1
Building Efficient Universal Classifiers with Natural Language Inference	Dec 29, 2023	ClassificationNatural Language Inference	CodeCode Available	1
Can multi-label classification networks know what they don’t know?	May 21, 2021	ClassificationMulti-class Classification	CodeCode Available	1
A Survey of Deep Learning Techniques for Weed Detection from Images	Mar 2, 2021	ClassificationGeneral Classification	CodeCode Available	1
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification	May 29, 2021	ClassificationHyperspectral Image Classification	CodeCode Available	1
CASS: Cross Architectural Self-Supervision for Medical Image Analysis	Jun 8, 2022	ClassificationMedical Image Analysis	CodeCode Available	1
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization	May 24, 2024	ClassificationFederated Learning	CodeCode Available	1
Category Query Learning for Human-Object Interaction Classification	Mar 24, 2023	ClassificationDecoder	CodeCode Available	1
A Spatio-temporal Deep Learning Approach for Underwater Acoustic Signals Classification	Nov 24, 2022	Audio ClassificationClassification	CodeCode Available	1
Cell Graph Transformer for Nuclei Classification	Feb 20, 2024	ClassificationNuclei Classification	CodeCode Available	1
Asymmetric Loss For Multi-Label Classification	Sep 29, 2020	ClassificationGeneral Classification	CodeCode Available	1
ChestX-Det10: Chest X-ray Dataset on Detection of Thoracic Abnormalities	Jun 17, 2020	ClassificationGeneral Classification	CodeCode Available	1
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets	Feb 6, 2023	Classificationimage-classification	CodeCode Available	1
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud	Dec 5, 2020	3D Object DetectionBirds Eye View Object Detection	CodeCode Available	1
Class-Balanced Active Learning for Image Classification	Oct 9, 2021	Active LearningClassification	CodeCode Available	1
Classification-Based Anomaly Detection for General Data	May 5, 2020	Anomaly DetectionClassification	CodeCode Available	1
Parametric Classification for Generalized Category Discovery: A Baseline Study	Nov 21, 2022	ClassificationNovel Class Discovery	CodeCode Available	1
A Simple Log-based Loss Function for Ordinal Text Classification	Oct 1, 2022	Classificationtext-classification	CodeCode Available	1

Show:10 25 50

← PrevPage 7 of 257Next →

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