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 691700 of 10419 papers

TitleStatusHype
Achieving Fairness Through Channel Pruning for Dermatological Disease DiagnosisCode1
Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision TasksCode1
Adaptive Token Sampling For Efficient Vision TransformersCode1
Dendritic Learning-incorporated Vision Transformer for Image RecognitionCode1
Attack of the Tails: Yes, You Really Can Backdoor Federated LearningCode1
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and LanguageCode1
Adaptive Risk Minimization: Learning to Adapt to Domain ShiftCode1
Depth Uncertainty in Neural NetworksCode1
Averaging Weights Leads to Wider Optima and Better GeneralizationCode1
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODECode1
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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