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 6401–6450 of 12815 papers

Title	Date	Tasks	Status	Hype
Iterative weak/self-supervised classification framework for abnormal events detection	Jan 3, 2021	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available	1
Multi-label Ranking: Mining Multi-label and Label Ranking Data	Jan 3, 2021	ClassificationExtreme Multi-Label Classification	—Unverified	0
An Evolution of CNN Object Classifiers on Low-Resolution Images	Jan 3, 2021	ClassificationGeneral Classification	—Unverified	0
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier	Jan 3, 2021	ClassificationCross-Domain Few-Shot	CodeCode Available	1
RegNet: Self-Regulated Network for Image Classification	Jan 3, 2021	ClassificationGeneral Classification	CodeCode Available	4
Multitask Learning for Class-Imbalanced Discourse Classification	Jan 2, 2021	ClassificationGeneral Classification	—Unverified	0
Relation Classification via Relation Validation	Jan 1, 2021	ClassificationRelation	CodeCode Available	0
Monolingual Word Sense Alignment as a Classification Problem	Jan 1, 2021	ClassificationRelationship Detection	—Unverified	0
Foreground Activation Maps for Weakly Supervised Object Localization	Jan 1, 2021	ClassificationObject	—Unverified	0
End-to-End Trainable Trident Person Search Network Using Adaptive Gradient Propagation	Jan 1, 2021	ClassificationHuman Detection	—Unverified	0
A Multi-Mode Modulator for Multi-Domain Few-Shot Classification	Jan 1, 2021	ClassificationDomain Generalization	—Unverified	0
PreDet: Large-Scale Weakly Supervised Pre-Training for Detection	Jan 1, 2021	ClassificationContrastive Learning	—Unverified	0
Watch Only Once: An End-to-End Video Action Detection Framework	Jan 1, 2021	Action ClassificationAction Detection	—Unverified	0
Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More	Jan 1, 2021	Adversarial RobustnessClassification	CodeCode Available	0
Brain Tumor Detection and Classification based on Hybrid Ensemble Classifier	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
AFINets: Attentive Feature Integration Networks for Image Classification	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Exploring Target Driven Image Classification	Jan 1, 2021	ClassificationFine-Grained Image Classification	—Unverified	0
VEM-GCN: Topology Optimization with Variational EM for Graph Convolutional Networks	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Task Calibration for Distributional Uncertainty in Few-Shot Classification	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Revisiting Point Cloud Classification with a Simple and Effective Baseline	Jan 1, 2021	3D Point Cloud ClassificationClassification	CodeCode Available	1
One-class Classification Robust to Geometric Transformation	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Neural Pooling for Graph Neural Networks	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Out-of-Distribution Classification and Clustering	Jan 1, 2021	ClassificationClustering	—Unverified	0
Buffer Zone based Defense against Adversarial Examples in Image Classification	Jan 1, 2021	Adversarial RobustnessClassification	—Unverified	0
Distribution Embedding Network for Meta-Learning with Variable-Length Input	Jan 1, 2021	Binary ClassificationClassification	—Unverified	0
Graph Structural Aggregation for Explainable Learning	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Adaptive Stacked Graph Filter	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
FASG: Feature Aggregation Self-training GCN for Semi-supervised Node Classification	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Cluster & Tune: Enhance BERT Performance in Low Resource Text Classification	Jan 1, 2021	ClassificationClustering	—Unverified	0
Learning Flexible Classifiers with Shot-CONditional Episodic (SCONE) Training	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Asynchronous Modeling: A Dual-phase Perspective for Long-Tailed Recognition	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Graph-Graph Similarity Network	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Aspect-based Sentiment Classification via Reinforcement Learning	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
FOC OSOD: Focus on Classification One-Shot Object Detection	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Consistent Instance Classification for Unsupervised Representation Learning	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Context-Agnostic Learning Using Synthetic Data	Jan 1, 2021	ClassificationFew-Shot Learning	—Unverified	0
Modeling Human Development: Effects of Blurred Vision on Category Learning in CNNs	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Energy-based Out-of-distribution Detection for Multi-label Classification	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Demystifying Loss Functions for Classification	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Contrastive Self-Supervised Learning of Global-Local Audio-Visual Representations	Jan 1, 2021	ClassificationDeepFake Detection	—Unverified	0
On Single-environment Extrapolations in Graph Classification and Regression Tasks	Jan 1, 2021	Classificationcounterfactual	—Unverified	0
Recall Loss for Imbalanced Image Classification and Semantic Segmentation	Jan 1, 2021	ClassificationGeneral Classification	CodeCode Available	1
Quantifying Task Complexity Through Generalized Information Measures	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Provably robust classification of adversarial examples with detection	Jan 1, 2021	ClassificationGeneral Classification	CodeCode Available	0
WordsWorth Scores for Attacking CNNs and LSTMs for Text Classification	Jan 1, 2021	ClassificationGeneral Classification	—Unverified	0
Uncertainty-aware Active Learning for Optimal Bayesian Classifier	Jan 1, 2021	Active LearningClassification	—Unverified	0
Uncertainty Calibration Error: A New Metric for Multi-Class Classification	Jan 1, 2021	Bayesian InferenceClassification	—Unverified	0
Certified robustness against physically-realizable patch attack via randomized cropping	Jan 1, 2021	ClassificationCrop Classification	—Unverified	0
A Near-Optimal Recipe for Debiasing Trained Machine Learning Models	Jan 1, 2021	BIG-bench Machine LearningClassification	—Unverified	0
AC-VAE: Learning Semantic Representation with VAE for Adaptive Clustering	Jan 1, 2021	ClassificationClustering	—Unverified	0

Show:10 25 50

← PrevPage 129 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	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