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 15711580 of 10420 papers

TitleStatusHype
A Neural Dirichlet Process Mixture Model for Task-Free Continual LearningCode1
Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and PhysicsCode1
LiT: Zero-Shot Transfer with Locked-image text TuningCode1
DCN-T: Dual Context Network with Transformer for Hyperspectral Image ClassificationCode1
CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAsCode1
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance LearningCode1
Locally Shifted Attention With Early Global IntegrationCode1
Local Search is a Remarkably Strong Baseline for Neural Architecture SearchCode1
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal EffectCode1
DAM: Dynamic Adapter Merging for Continual Video QA LearningCode1
Show:102550
← PrevPage 158 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