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

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Showing 5951–6000 of 10420 papers

TitleStatusHype
Backpropagation Neural TreeCode0
Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification—0
FORML: Learning to Reweight Data for Fairness—0
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning—0
Classification of Skin Cancer Images using Convolutional Neural Networks—0
Access Control of Object Detection Models Using Encrypted Feature Maps—0
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy—0
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons—0
AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural NetworksCode0
Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)Code0
Image Classification using Graph Neural Network and Multiscale Wavelet Superpixels—0
Towards Robust Deep Active Learning for Scientific Computing—0
Low-rank features based double transformation matrices learning for image classification—0
Calibrating Histopathology Image Classifiers using Label Smoothing—0
A Systematic Study of Bias AmplificationCode0
Language-biased image classification: evaluation based on semantic representationsCode0
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual AttributesCode0
IMACS: Image Model Attribution Comparison Summaries—0
Transformer-Based Video Front-Ends for Audio-Visual Speech Recognition for Single and Multi-Person Video—0
Supervised learning of sheared distributions using linearized optimal transport—0
Feature transforms for image data augmentationCode0
Mutual Attention-based Hybrid Dimensional Network for Multimodal Imaging Computer-aided Diagnosis—0
Importance of Preprocessing in Histopathology Image Classification Using Deep Convolutional Neural Network—0
Learning to Minimize the Remainder in Supervised LearningCode0
Wavelet-Attention CNN for Image Classification—0
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data RegimeCode0
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection—0
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer—0
Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes—0
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World—0
Signal Strength and Noise Drive Feature Preference in CNN Image ClassifiersCode0
Deep Cervix Model Development from Heterogeneous and Partially Labeled Image Datasets—0
Explainable Ensemble Machine Learning for Breast Cancer Diagnosis based on Ultrasound Image Texture FeaturesCode0
Distillation from heterogeneous unlabeled collections—0
Behavior of Mini-Batch Optimization for Training Deep Neural Networks on Large Datasets—0
Landscape of Neural Architecture Search across sensors: how much do they differ ?—0
YOLO -- You only look 10647 times—0
Discrete Simulation Optimization for Tuning Machine Learning Method Hyperparameters—0
Neighborhood Region Smoothing Regularization for Finding Flat Minima In Deep Neural Networks—0
ALA: Naturalness-aware Adversarial Lightness Attack—0
A Text-Image Pair Is not Enough: Language-Vision Relation Inference with Auxiliary Modality Translation—0
Multi-level Second-order Few-shot LearningCode0
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEsCode0
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?Code0
Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks—0
Preventing Manifold Intrusion with Locality: Local MixupCode0
Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified Representations—0
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks—0
ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce ConnectionsCode0
Invariance encoding in sliced-Wasserstein space for image classification with limited training dataCode0
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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