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 4876–4900 of 10420 papers

TitleStatusHype
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