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 5201–5250 of 10420 papers

TitleStatusHype
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000—0
Enhancing Layer Attention Efficiency through Pruning Redundant Retrievals—0
Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning—0
Classification of Quantitative Light-Induced Fluorescence Images Using Convolutional Neural Network—0
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair—0
Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models—0
Classification of Noncoding RNA Elements Using Deep Convolutional Neural Networks—0
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products—0
Enhancing Instance-Level Image Classification with Set-Level Labels—0
Enhancing Image Classification in Small and Unbalanced Datasets through Synthetic Data Augmentation—0
Classification of NEQR Processed Classical Images using Quantum Neural Networks (QNN)—0
Enhancing Glass Defect Detection with Diffusion Models: Addressing Imbalanced Datasets in Manufacturing Quality Control—0
Enhancing Generalization of First-Order Meta-Learning—0
Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning—0
An Ultralightweight Hybrid CNN Based on Redundancy Removal for Hyperspectral Image Classification—0
Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models—0
Classification of Lung Pathologies in Neonates using Dual Tree Complex Wavelet Transform—0
Enhancing Fine-grained Image Classification through Attentive Batch Training—0
Classification of Shoulder X-Ray Images with Deep Learning Ensemble Models—0
ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification—0
Classification of diffraction patterns using a convolutional neural network in single particle imaging experiments performed at X-ray free-electron lasers—0
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space—0
Classification of Diabetic Retinopathy Images Using Multi-Class Multiple-Instance Learning Based on Color Correlogram Features—0
Anti-ESIA: Analyzing and Mitigating Impacts of Electromagnetic Signal Injection Attacks—0
Adversarial AutoAugment—0
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis—0
A^2-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder—0
Vera Verto: Multimodal Hijacking Attack—0
ROI Regularization for Semi-supervised and Supervised Learning—0
Forget the Learning Rate, Decay Loss—0
Enhancing Continuous Domain Adaptation with Multi-Path Transfer Curriculum—0
Enhancing CNN Classification with Lamarckian Memetic Algorithms and Local Search—0
Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the System—0
Dual-Activated Lightweight Attention ResNet50 for Automatic Histopathology Breast Cancer Image Classification—0
Classification of breast cancer histology images using transfer learning—0
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning—0
Classification for everyone : Building geography agnostic models for fairer recognition—0
Anticipating Future Object Compositions without Forgetting—0
Enhanced Prototypical Part Network (EPPNet) For Explainable Image Classification Via Prototypes—0
Classification-driven Single Image Dehazing—0
Enhanced Object Detection via Fusion With Prior Beliefs from Image Classification—0
Classification-Driven Dynamic Image Enhancement—0
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits—0
Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification—0
Classification Driven Dynamic Image Enhancement—0
Enhanced Image Classification With Data Augmentation Using Position Coordinates—0
Enhanced Image Classification With a Fast-Learning Shallow Convolutional Neural Network—0
Classification-Denoising Networks—0
A Lightweight Randomized Nonlinear Dictionary Learning Method using Random Vector Functional Link—0
RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering—0
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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