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 701725 of 10419 papers

TitleStatusHype
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face RecognitionCode1
Learning Loss for Active LearningCode1
A Novel Approach for detecting Normal, COVID-19 and Pneumonia patient using only binary classifications from chest CT-ScansCode1
Danish Fungi 2020 -- Not Just Another Image Recognition DatasetCode1
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution EnvironmentsCode1
Data Augmentation with norm-VAE for Unsupervised Domain AdaptationCode1
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)Code1
Co^2L: Contrastive Continual LearningCode1
Data-Efficient Deep Learning Method for Image Classification Using Data Augmentation, Focal Cosine Loss, and EnsembleCode1
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
Continual Hippocampus Segmentation with TransformersCode1
Delving into Out-of-Distribution Detection with Medical Vision-Language ModelsCode1
DC3DCD: unsupervised learning for multiclass 3D point cloud change detectionCode1
DEAL: Deep Evidential Active Learning for Image ClassificationCode1
DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing AttentionCode1
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual ExplanationsCode1
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic AugmentationCode1
Clean-Label Backdoor Attacks on Video Recognition ModelsCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
CLCNet: Rethinking of Ensemble Modeling with Classification Confidence NetworkCode1
Deep CNNs Meet Global Covariance Pooling: Better Representation and GeneralizationCode1
Deep CORAL: Correlation Alignment for Deep Domain AdaptationCode1
Analyzing Vision Transformers for Image Classification in Class Embedding SpaceCode1
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label NoiseCode1
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified