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

Showing 81518175 of 10420 papers

TitleStatusHype
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
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
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization GuaranteesCode0
Removing the Feature Correlation Effect of Multiplicative NoiseCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified