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 28412850 of 10420 papers

TitleStatusHype
Category Disentangled Context: Turning Category-irrelevant Features Into Treasures0
Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision0
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN0
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models0
Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights, Design, and Metrics0
An landcover fuzzy logic classification by maximumlikelihood0
Anisotropic Diffusion Probabilistic Model for Imbalanced Image Classification0
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection0
EMP: Enhance Memory in Data Pruning0
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification0
Show:102550
← PrevPage 285 of 1042Next →

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