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 5701–5750 of 10420 papers

TitleStatusHype
Corrosion Detection for Industrial Objects: From Multi-Sensor System to 5D Feature Space—0
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNsCode0
Simple Open-Vocabulary Object Detection with Vision TransformersCode0
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent TrainingCode0
Feature Extractor Stacking for Cross-domain Few-shot LearningCode0
An Empirical Study Of Self-supervised Learning Approaches For Object Detection With TransformersCode0
Analysis of convolutional neural network image classifiers in a rotationally symmetric model—0
Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural FeaturesCode0
Hyperspectral Image Classification With Contrastive Graph Convolutional NetworkCode0
A Safety Assurable Human-Inspired Perception Architecture—0
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training—0
Hybrid quantum ResNet for car classification and its hyperparameter optimization—0
Privacy Enhancement for Cloud-Based Few-Shot LearningCode0
SmoothNets: Optimizing CNN architecture design for differentially private deep learningCode0
Preservation of High Frequency Content for Deep Learning-Based Medical Image ClassificationCode0
VPN: Verification of Poisoning in Neural Networks—0
Comparison Knowledge Translation for Generalizable Image ClassificationCode0
Large Scale Transfer Learning for Differentially Private Image Classification—0
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene ClassificationCode0
RCMNet: A deep learning model assists CAR-T therapy for leukemia—0
Biologically inspired deep residual networks for computer vision applications—0
Immiscible Color Flows in Optimal Transport Networks for Image ClassificationCode0
Scene Clustering Based Pseudo-labeling Strategy for Multi-modal Aerial View Object ClassificationCode0
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification—0
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer—0
DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing DataCode0
Resnet18 Model With Sequential Layer For Computing Accuracy On Image Classification Dataset—0
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation—0
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
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
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma—0
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining—0
Depth Estimation with Simplified Transformer—0
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor—0
One-shot Federated Learning without Server-side TrainingCode0
Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network—0
Quantum-classical convolutional neural networks in radiological image classification—0
OCFormer: One-Class Transformer Network for Image Classification—0
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And DatasetCode0
Adaptive hybrid activation function for deep neural networksCode0
A Closer Look at Personalization in Federated Image Classification—0
Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability—0
iCAR: Bridging Image Classification and Image-text Alignment for Visual RecognitionCode0
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition—0
Enhancing Core Image Classification Using Generative Adversarial Networks (GANs)—0
Multiple EffNet/ResNet Architectures for Melanoma Classification—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