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

Showing 35513575 of 10420 papers

TitleStatusHype
Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lagCode0
Adaptive Cross-Modal Few-Shot LearningCode0
Immiscible Color Flows in Optimal Transport Networks for Image ClassificationCode0
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-MixerCode0
Importance of Disjoint Sampling in Conventional and Transformer Models for Hyperspectral Image ClassificationCode0
ImageNot: A contrast with ImageNet preserves model rankingsCode0
Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensembleCode0
Image Quality Assessment Guided Deep Neural Networks TrainingCode0
DeepCorrect: Correcting DNN models against Image DistortionsCode0
Deep Generalized Convolutional Sum-Product NetworksCode0
Precise Benchmarking of Explainable AI Attribution MethodsCode0
Deep Convolutional Neural Networks for Breast Cancer Histology Image AnalysisCode0
ALReLU: A different approach on Leaky ReLU activation function to improve Neural Networks PerformanceCode0
EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification TaskCode0
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time DetectionCode0
Deep convolutional neural networks for pedestrian detectionCode0
AutoShrink: A Topology-aware NAS for Discovering Efficient Neural ArchitectureCode0
Deep convolutional Gaussian processesCode0
Auto-Precision Scaling for Distributed Deep LearningCode0
Enhanced Long-Tailed Recognition with Contrastive CutMix AugmentationCode0
Deep Continuous NetworksCode0
PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party SettingCode0
Adaptive Convolution Kernel for Artificial Neural NetworksCode0
Image Classification with Hierarchical Multigraph NetworksCode0
ImageNet Classification with Deep Convolutional Neural NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified