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 39213930 of 10420 papers

TitleStatusHype
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis0
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification0
FairSAM: Fair Classification on Corrupted Data Through Sharpness-Aware Minimization0
Fair-VPT: Fair Visual Prompt Tuning for Image Classification0
Comment on "Ensemble Projection for Semi-supervised Image Classification"0
A Contrastive Symmetric Forward-Forward Algorithm (SFFA) for Continual Learning Tasks0
Generic Image Classification Approaches Excel on Face Recognition0
Committees of deep feedforward networks trained with few data0
FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performance0
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning0
Show:102550
← PrevPage 393 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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified