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 24512475 of 10420 papers

TitleStatusHype
Adversarial Learning for Personalized Tag RecommendationCode0
Enhancing Neural Network Representations with Prior Knowledge-Based NormalizationCode0
Invariance encoding in sliced-Wasserstein space for image classification with limited training dataCode0
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural NetworksCode0
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image ClassificationCode0
Intelligent Multi-View Test Time AugmentationCode0
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural NetworksCode0
Instilling Inductive Biases with SubnetworksCode0
An Intelligent Remote Sensing Image Quality Inspection SystemCode0
Interferometric Neural NetworksCode0
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling CurvesCode0
CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual LearningCode0
Instance-dependent Label Distribution Estimation for Learning with Label NoiseCode0
Instance-based Label Smoothing For Better Calibrated Classification NetworksCode0
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch NoiseCode0
Instance Temperature Knowledge DistillationCode0
Interlocking Backpropagation: Improving depthwise model-parallelismCode0
A Group-Theoretic Framework for Data AugmentationCode0
CLIP model is an Efficient Online Lifelong LearnerCode0
Information Competing Process for Learning Diversified RepresentationsCode0
Initialization Matters for Adversarial Transfer LearningCode0
Inference via Sparse Coding in a Hierarchical Vision ModelCode0
Influence of Image Classification Accuracy on Saliency Map EstimationCode0
In-domain representation learning for remote sensingCode0
In-Place Activated BatchNorm for Memory-Optimized Training of DNNsCode0
Show:102550
← PrevPage 99 of 417Next →

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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified