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 891900 of 10420 papers

TitleStatusHype
Post-hoc Uncertainty Learning using a Dirichlet Meta-ModelCode1
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and LanguageCode1
Reproducible scaling laws for contrastive language-image learningCode1
Domain Generalization by Learning and Removing Domain-specific FeaturesCode1
Regularized Optimal Transport Layers for Generalized Global Pooling OperationsCode1
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group PropagationCode1
DISCO: Adversarial Defense with Local Implicit FunctionsCode1
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies OthersCode1
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive LearningCode1
PØDA: Prompt-driven Zero-shot Domain AdaptationCode1
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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
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