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 4801–4850 of 10420 papers

TitleStatusHype
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles—0
Understanding More about Human and Machine Attention in Deep Neural Networks—0
D^2: Decentralized Training over Decentralized Data—0
Human-interpretable model explainability on high-dimensional data—0
Augmented Equivariant Attention Networks for Microscopy Image Reconstruction—0
Accelerating Neural Network Inference by Overflow Aware Quantization—0
Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks—0
Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification—0
Hybrid Deep Learning Framework for Classification of Kidney CT Images: Diagnosis of Stones, Cysts, and Tumors—0
Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification—0
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention—0
Hybrid multi-layer Deep CNN/Aggregator feature for image classification—0
Informative Class Activation Maps—0
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Probe and Learn Neural Networks—0
Augmented Conditioning Is Enough For Effective Training Image Generation—0
Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis—0
Hybrid quantum transfer learning for crack image classification on NISQ hardware—0
Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics—0
Cyclic orthogonal convolutions for long-range integration of features—0
HydraMix: Multi-Image Feature Mixing for Small Data Image Classification—0
Incremental Learning Through Deep Adaptation—0
HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning—0
Augmenting learning using symmetry in a biologically-inspired domain—0
Human Imperceptible Attacks and Applications to Improve Fairness—0
Hyperbolic Convolutional Neural Networks—0
Hyperbolic Dual Feature Augmentation for Open-Environment—0
Human Face Recognition using Gabor based Kernel Entropy Component Analysis—0
Incremental Learning with Differentiable Architecture and Forgetting Search—0
Human-Centered Evaluation of XAI Methods—0
Human Attention-Guided Explainable Artificial Intelligence for Computer Vision Models—0
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification—0
Human-aligned Deep Learning: Explainability, Causality, and Biological Inspiration—0
HyperCam: Low-Power Onboard Computer Vision for IoT Cameras—0
Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification—0
Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense—0
Incremental Learning of NCM Forests for Large-Scale Image Classification—0
Incremental multi-domain learning with network latent tensor factorization—0
Human Action Recognition using Factorized Spatio-Temporal Convolutional Networks—0
HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis—0
HyperNetworks with statistical filtering for defending adversarial examples—0
Human Action Recognition in Still Images Using ConViT—0
Towards Robust Deep Active Learning for Scientific Computing—0
Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a "Null" Model be?—0
Hybrid quantum ResNet for car classification and its hyperparameter optimization—0
DARTS for Inverse Problems: a Study on Stability—0
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss—0
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks—0
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification—0
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance—0
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron—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