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 4451–4500 of 10420 papers

TitleStatusHype
When does dough become a bagel? Analyzing the remaining mistakes on ImageNetCode1
SmoothNets: Optimizing CNN architecture design for differentially private deep learningCode0
Introspective Deep Metric Learning for Image RetrievalCode1
VPN: Verification of Poisoning in Neural Networks—0
CCMB: A Large-scale Chinese Cross-modal BenchmarkCode1
ConvMAE: Masked Convolution Meets Masked AutoencodersCode2
Preservation of High Frequency Content for Deep Learning-Based Medical Image ClassificationCode0
Comparison Knowledge Translation for Generalizable Image ClassificationCode0
RCMNet: A deep learning model assists CAR-T therapy for leukemia—0
Large Scale Transfer Learning for Differentially Private Image Classification—0
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene ClassificationCode0
Investigating and Explaining the Frequency Bias in Image ClassificationCode1
Image Classification With Small Datasets: Overview and BenchmarkCode1
Biologically inspired deep residual networks for computer vision applications—0
CoCa: Contrastive Captioners are Image-Text Foundation ModelsCode1
Immiscible Color Flows in Optimal Transport Networks for Image ClassificationCode0
Scene Clustering Based Pseudo-labeling Strategy for Multi-modal Aerial View Object ClassificationCode0
Sequencer: Deep LSTM for Image ClassificationCode5
Better plain ViT baselines for ImageNet-1kCode1
Masked Generative DistillationCode2
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)Code1
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer—0
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification—0
DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing DataCode0
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation—0
Deep PCB To COCO ConvertorCode2
AugStatic - A Light-Weight Image Augmentation LibraryCode0
Augmented Balanced Image Dataset Generator Using AugStatic LibraryCode0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset—0
Resnet18 Model With Sequential Layer For Computing Accuracy On Image Classification Dataset—0
Uncertainty Estimation of Transformer Predictions for Misclassification DetectionCode0
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural NetworksCode0
DIRA: Dynamic Domain Incremental Regularised AdaptationCode0
NeuralEF: Deconstructing Kernels by Deep Neural NetworksCode1
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
CLIP-Art: Contrastive Pre-training for Fine-Grained Art ClassificationCode2
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining—0
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma—0
Unlocking High-Accuracy Differentially Private Image Classification through ScaleCode1
Depth Estimation with Simplified Transformer—0
Semantic Information Recovery in Wireless NetworksCode1
Learning to Split for Automatic Bias DetectionCode1
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor—0
One-shot Federated Learning without Server-side TrainingCode0
Understanding The Robustness in Vision TransformersCode2
Quantum-classical convolutional neural networks in radiological image classification—0
Causal Transportability for Visual RecognitionCode1
PolyLoss: A Polynomial Expansion Perspective of Classification Loss FunctionsCode1
Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network—0
Adaptive Split-Fusion TransformerCode1
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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