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 38913900 of 10420 papers

TitleStatusHype
Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification0
A GPU-accelerated Algorithm for Distinct Discriminant Canonical Correlation Network0
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classificationCode0
Optical Neural Ordinary Differential Equations0
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning0
TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video SurveillanceCode1
Generalized Parametric Contrastive LearningCode2
Impact of Feedback Type on Explanatory Interactive Learning0
Raising the Bar on the Evaluation of Out-of-Distribution Detection0
Tiered Pruning for Efficient Differentialble Inference-Aware Neural Architecture Search0
Show:102550
← PrevPage 390 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified