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 3201–3250 of 10419 papers

TitleStatusHype
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image ClassificationCode0
Deep Predictive Coding Network with Local Recurrent Processing for Object RecognitionCode0
Improving Nonlinear Projection Heads using Pretrained Autoencoder EmbeddingsCode0
Improving model calibration with accuracy versus uncertainty optimizationCode0
Improving Neural Architecture Search Image Classifiers via Ensemble LearningCode0
SpecRepair: Counter-Example Guided Safety Repair of Deep Neural NetworksCode0
Domain Generalization with Vital Phase AugmentationCode0
Domain-independent Dominance of Adaptive MethodsCode0
Efficient Ladder-style DenseNets for Semantic Segmentation of Large ImagesCode0
Domain-Specific Pre-training Improves Confidence in Whole Slide Image ClassificationCode0
Bayesian Concept Bottleneck Models with LLM PriorsCode0
DeepOBS: A Deep Learning Optimizer Benchmark SuiteCode0
A Multi-task Supervised Compression Model for Split ComputingCode0
Neural Networks Trained on Natural Scenes Exhibit Gestalt ClosureCode0
Improving Memory Efficiency for Training KANs via Meta LearningCode0
Improving Pairwise Ranking for Multi-label Image ClassificationCode0
Don't Look into the Sun: Adversarial Solarization Attacks on Image ClassifiersCode0
BViT: Broad Attention based Vision TransformerCode0
Deep Object Co-segmentation via Spatial-Semantic Network ModulationCode0
Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural NetworkCode0
Do Perceptually Aligned Gradients Imply Adversarial Robustness?Code0
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative LearningCode0
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network ArchitectureCode0
Improving k-Means Clustering Performance with Disentangled Internal RepresentationsCode0
A Comparative Analysis on Bangla Handwritten Digit Recognition with Data Augmentation and Non-Augmentation ProcessCode0
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty CalibrationCode0
Improving Generalization of Batch Whitening by Convolutional Unit OptimizationCode0
ByzShield: An Efficient and Robust System for Distributed TrainingCode0
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And DatasetCode0
DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security InspectionCode0
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image ClassificationCode0
Deep Neural Networks Motivated by Partial Differential EquationsCode0
Batch-Shaping for Learning Conditional Channel Gated NetworksCode0
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck ModelsCode0
Improving Pre-Trained Weights Through Meta-Heuristics Fine-TuningCode0
Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationCode0
Batch-normalized Maxout Network in NetworkCode0
Improving Fairness in Image Classification via SketchingCode0
Improving Deep Neural Network Random Initialization Through Neuronal RewiringCode0
Improving Classification Neural Networks by using Absolute activation function (MNIST/LeNET-5 example)Code0
Improving Confident-Classifiers For Out-of-distribution DetectionCode0
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distanceCode0
Batch Model Consolidation: A Multi-Task Model Consolidation FrameworkCode0
Improving Calibration by Relating Focal Loss, Temperature Scaling, and PropernessCode0
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output CodesCode0
Deep Neural Network Compression for Image Classification and Object DetectionCode0
Deep neural network based on F-neurons and its learningCode0
A multiple-instance densely-connected ConvNet for aerial scene classificationCode0
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of AttentionCode0
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language ModelsCode0
Show:102550
← PrevPage 65 of 209Next →
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