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 15411550 of 10420 papers

TitleStatusHype
Learning Multimodal Data Augmentation in Feature SpaceCode1
Boosting Multi-Label Image Classification with Complementary Parallel Self-DistillationCode1
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)Code1
Data Feedback Loops: Model-driven Amplification of Dataset BiasesCode1
Learning Representations For Images With Hierarchical LabelsCode1
Boosting the Adversarial Transferability of Surrogate Models with Dark KnowledgeCode1
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution EnvironmentsCode1
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data AugmentationCode1
Learning Support and Trivial Prototypes for Interpretable Image ClassificationCode1
Danish Fungi 2020 -- Not Just Another Image Recognition DatasetCode1
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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