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

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Showing 4851–4900 of 10420 papers

TitleStatusHype
Calibrating Histopathology Image Classifiers using Label Smoothing—0
Toward Training at ImageNet Scale with Differential PrivacyCode1
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural NetworksCode1
A Systematic Study of Bias AmplificationCode0
Language-biased image classification: evaluation based on semantic representationsCode0
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual AttributesCode0
IMACS: Image Model Attribution Comparison Summaries—0
Speeding up Heterogeneous Federated Learning with Sequentially Trained SuperclientsCode1
When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention MechanismCode2
Supervised learning of sheared distributions using linearized optimal transport—0
Transformer-Based Video Front-Ends for Audio-Visual Speech Recognition for Single and Multi-Person Video—0
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial PredictionsCode1
Convolutional Xformers for VisionCode1
Feature transforms for image data augmentationCode0
Importance of Preprocessing in Histopathology Image Classification Using Deep Convolutional Neural Network—0
Patches Are All You Need?Code3
UniFormer: Unifying Convolution and Self-attention for Visual RecognitionCode2
Transformers in Medical Imaging: A SurveyCode3
Mutual Attention-based Hybrid Dimensional Network for Multimodal Imaging Computer-aided Diagnosis—0
Revisiting Global Pooling through the Lens of Optimal TransportCode1
Wavelet-Attention CNN for Image Classification—0
Learning to Minimize the Remainder in Supervised LearningCode0
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer—0
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data RegimeCode0
Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes—0
Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image ClassificationCode1
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection—0
ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specificationCode2
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World—0
Revisiting Weakly Supervised Pre-Training of Visual Perception ModelsCode1
Omnivore: A Single Model for Many Visual ModalitiesCode2
Signal Strength and Noise Drive Feature Preference in CNN Image ClassifiersCode0
PT4AL: Using Self-Supervised Pretext Tasks for Active LearningCode1
It's All in the Head: Representation Knowledge Distillation through Classifier SharingCode1
Deep Cervix Model Development from Heterogeneous and Partially Labeled Image Datasets—0
Behavior of Mini-Batch Optimization for Training Deep Neural Networks on Large Datasets—0
Explainable Ensemble Machine Learning for Breast Cancer Diagnosis based on Ultrasound Image Texture FeaturesCode0
The CLEAR Benchmark: Continual LEArning on Real-World ImageryCode1
Distillation from heterogeneous unlabeled collections—0
Landscape of Neural Architecture Search across sensors: how much do they differ ?—0
A Text-Image Pair Is not Enough: Language-Vision Relation Inference with Auxiliary Modality Translation—0
Neighborhood Region Smoothing Regularization for Finding Flat Minima In Deep Neural Networks—0
Discrete Simulation Optimization for Tuning Machine Learning Method Hyperparameters—0
ALA: Naturalness-aware Adversarial Lightness Attack—0
YOLO -- You only look 10647 times—0
Multi-level Second-order Few-shot LearningCode0
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEsCode0
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?Code0
Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks—0
Preventing Manifold Intrusion with Locality: Local MixupCode0
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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