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 4726–4750 of 10420 papers

TitleStatusHype
Improving Interpretability and Accuracy in Neuro-Symbolic Rule Extraction Using Class-Specific Sparse Filters—0
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation—0
A Unified Framework with Meta-dropout for Few-shot Learning—0
Data Consistency for Weakly Supervised Learning—0
Algorithms for Hyper-Parameter Optimization—0
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation—0
Data-Centric Debugging: mitigating model failures via targeted data collection—0
A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning—0
Algorithmic progress in computer vision—0
Database Meets Deep Learning: Challenges and Opportunities—0
Data-aware customization of activation functions reduces neural network error—0
A Unified Framework to Analyze and Design the Nonlocal Blocks for Neural Networks—0
Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition—0
A Unified Deep Speaker Embedding Framework for Mixed-Bandwidth Speech Data—0
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach—0
Data Augmentation Vision Transformer for Fine-grained Image Classification—0
Data Augmentation using Feature Generation for Volumetric Medical Images—0
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks—0
Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data—0
Data Augmentation Policy Search for Long-Term Forecasting—0
Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces—0
Data Augmentation in Training CNNs: Injecting Noise to Images—0
Data Augmentation in Training CNNs: Injecting Noise to Images—0
AUKT: Adaptive Uncertainty-Guided Knowledge Transfer with Conformal Prediction—0
Data Augmentation for Visual Question Answering—0
Show:102550
← PrevPage 190 of 417Next →
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