SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8151–8200 of 10420 papers

TitleStatusHype
ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action RecognitionCode0
Resolution-Invariant Image Classification based on Fourier Neural OperatorsCode0
Feature Denoising for Improving Adversarial RobustnessCode0
ARMA Nets: Expanding Receptive Field for Dense PredictionCode0
ResNet-like Architecture with Low Hardware RequirementsCode0
Comparison Knowledge Translation for Generalizable Image ClassificationCode0
Feasible LearningCode0
Residual Attention Network for Image ClassificationCode0
FDA: Feature Disruptive AttackCode0
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy ImitationCode0
Residual and Plain Convolutional Neural Networks for 3D Brain MRI ClassificationCode0
Rescaling Large Datasets Based on Validation Outcomes of a Pre-trained NetworkCode0
Variational Resampling Based Assessment of Deep Neural Networks under Distribution ShiftCode0
Reproduction Report on "Learn to Pay Attention"Code0
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier AnchoringCode0
Arithmetic addition of two integers by deep image classification networks: experiments to quantify their autonomous reasoning abilityCode0
Reproducibility study of "LICO: Explainable Models with Language-Image Consistency"Code0
Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble ModelsCode0
Finding Deviated Behaviors of the Compressed DNN Models for Image ClassificationsCode0
Redundant representations help generalization in wide neural networksCode0
Replica Tree-based Federated Learning using Limited DataCode0
Fast Solar Image Classification Using Deep Learning and its Importance for Automation in Solar PhysicsCode0
Comparative Study Between Distance Measures On Supervised Optimum-Path Forest ClassificationCode0
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization GuaranteesCode0
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training ExamplesCode0
RepAct: The Re-parameterizable Adaptive Activation FunctionCode0
ReNet: A Recurrent Neural Network Based Alternative to Convolutional NetworksCode0
Removing the Feature Correlation Effect of Multiplicative NoiseCode0
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGradCode0
RemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image ClassificationCode0
Fast Neural Network Adaptation via Parameter Remapping and Architecture SearchCode0
Fast Low-rank Shared Dictionary Learning for Image ClassificationCode0
Comparative Evaluation of Clustered Federated Learning MethodsCode0
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual ClassificationCode0
Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical DecisionsCode0
A Baseline for Multi-Label Image Classification Using An Ensemble of Deep Convolutional Neural NetworksCode0
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image ClassificationCode0
Fast Gradient Descent Algorithm for Image Classification with Neural NetworksCode0
Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network RobustnessCode0
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation ApproachCode0
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging ClassificationCode0
Relative stability toward diffeomorphisms indicates performance in deep netsCode0
Relation Network for Multi-label Aerial Image ClassificationCode0
Relation-Aware Global Attention for Person Re-identificationCode0
Relational Concept Bottleneck ModelsCode0
Frequency maps reveal the correlation between Adversarial Attacks and Implicit BiasCode0
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann MachinesCode0
Fast Dynamic Routing Based on Weighted Kernel Density EstimationCode0
CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural NetworksCode0
Compact Global Descriptor for Neural NetworksCode0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified