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 20412050 of 10420 papers

TitleStatusHype
Stochasticity in Neural ODEs: An Empirical StudyCode1
A Toolkit for Generating Code Knowledge GraphsCode1
Towards Robust and Reproducible Active Learning Using Neural NetworksCode1
KaoKore: A Pre-modern Japanese Art Facial Expression DatasetCode1
Algorithm-hardware Co-design for Deformable ConvolutionCode1
DivideMix: Learning with Noisy Labels as Semi-supervised LearningCode1
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid CellsCode1
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance LearningCode1
Superpixel Image Classification with Graph Attention NetworksCode1
Scalable and Practical Natural Gradient for Large-Scale Deep LearningCode1
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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
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