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 3101–3150 of 10419 papers

TitleStatusHype
An All-digital 8.6-nJ/Frame 65-nm Tsetlin Machine Image Classification AcceleratorCode0
Improving Pairwise Ranking for Multi-label Image ClassificationCode0
BEiT v2: Masked Image Modeling with Vector-Quantized Visual TokenizersCode0
Improving Nonlinear Projection Heads using Pretrained Autoencoder EmbeddingsCode0
Improving Pre-Trained Weights Through Meta-Heuristics Fine-TuningCode0
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost TuningCode0
Improving Memory Efficiency for Training KANs via Meta LearningCode0
Improving model calibration with accuracy versus uncertainty optimizationCode0
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image ClassificationCode0
An Algorithm for Out-Of-Distribution Attack to Neural Network EncoderCode0
Improving Neural Architecture Search Image Classifiers via Ensemble LearningCode0
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and RetrainingCode0
DeepSplit: Scalable Verification of Deep Neural Networks via Operator SplittingCode0
Distributed Black-box Attack: Do Not Overestimate Black-box AttacksCode0
Rationally Inattentive Utility Maximization for Interpretable Deep Image ClassificationCode0
Improving k-Means Clustering Performance with Disentangled Internal RepresentationsCode0
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck ModelsCode0
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative LearningCode0
BDNet: Bengali Handwritten Numeral Digit Recognition based on Densely connected Convolutional Neural NetworksCode0
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable NeuronsCode0
Improving Generalization of Batch Whitening by Convolutional Unit OptimizationCode0
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image ClassificationCode0
Improving Random-Sampling Neural Architecture Search by Evolving the Proxy Search SpaceCode0
Local Clustering for Lung Cancer Image Classification via Sparse Solution TechniqueCode0
Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationCode0
BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averagingCode0
Improving Fairness in Image Classification via SketchingCode0
An AI-Powered VVPAT Counter for Elections in IndiaCode0
DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural NetworksCode0
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step DefencesCode0
Bayesian Robust Aggregation for Federated LearningCode0
Local semantic enhanced convnet for aerial scene recognitionCode0
DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image ClassificationCode0
Local-to-Global Self-Attention in Vision TransformersCode0
An adversarial attack approach for eXplainable AI evaluation on deepfake detection modelsCode0
DeepSat - A Learning framework for Satellite ImageryCode0
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image ClassificationCode0
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output CodesCode0
Deep Retinal Image UnderstandingCode0
Deep Residual Networks with Exponential Linear UnitCode0
Bayesian posterior approximation with stochastic ensemblesCode0
Deep Residual Network based Automatic Image Grading for Diabetic Macular EdemaCode0
An Evasion Attack against Stacked Capsule AutoencoderCode0
Deep Residual Learning in the JPEG Transform DomainCode0
Bayesian Nonparametric Federated Learning of Neural NetworksCode0
Improving Classification Neural Networks by using Absolute activation function (MNIST/LeNET-5 example)Code0
Improving Confident-Classifiers For Out-of-distribution DetectionCode0
Observer Dependent Lossy Image CompressionCode0
Improving Deep Neural Network Random Initialization Through Neuronal RewiringCode0
Improving Generalization and Convergence by Enhancing Implicit RegularizationCode0
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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