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 24512460 of 10420 papers

TitleStatusHype
Instilling Inductive Biases with SubnetworksCode0
Clustered Task-Aware Meta-Learning by Learning from Learning PathsCode0
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch NoiseCode0
Adversarial Learning for Personalized Tag RecommendationCode0
Enhancing Neural Network Representations with Prior Knowledge-Based NormalizationCode0
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural NetworksCode0
Input Invex Neural NetworkCode0
Initialization Matters for Adversarial Transfer LearningCode0
In-Place Activated BatchNorm for Memory-Optimized Training of DNNsCode0
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural NetworksCode0
Show:102550
← PrevPage 246 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