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 6951–6975 of 10420 papers

TitleStatusHype
Arguments for the Unsuitability of Convolutional Neural Networks for Non--Local Tasks—0
Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps—0
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeedCode0
Explainers in the Wild: Making Surrogate Explainers Robust to Distortions through Perception—0
Revisiting Classification Perspective on Scene Text Recognition—0
CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface—0
The Uncanny Similarity of Recurrence and DepthCode0
Combining Spiking Neural Network and Artificial Neural Network for Enhanced Image Classification—0
A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification—0
EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks—0
Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference—0
PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party SettingCode0
Center Smoothing: Certified Robustness for Networks with Structured OutputsCode0
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention MechanismCode0
Image Classification using CNN for Traffic Signs in Pakistan—0
Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks—0
Efficient Online ML API Selection for Multi-Label Classification Tasks—0
Centroid Transformers: Learning to Abstract with Attention—0
Robust Domain-Free Domain Generalization with Class-aware Alignment—0
Training Stacked Denoising Autoencoders for Representation Learning—0
Just Noticeable Difference for Deep Machine Vision—0
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation—0
Just Noticeable Difference for Machine Perception and Generation of Regularized Adversarial Images with Minimal Perturbation—0
Dataset Condensation with Differentiable Siamese AugmentationCode0
Learning image quality assessment by reinforcing task amenable data selection—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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified