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 14211430 of 10420 papers

TitleStatusHype
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)Code1
DATA: Domain-Aware and Task-Aware Self-supervised LearningCode1
Active Learning for Convolutional Neural Networks: A Core-Set ApproachCode1
Data Feedback Loops: Model-driven Amplification of Dataset BiasesCode1
Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language ModelsCode1
Just Train Twice: Improving Group Robustness without Training Group InformationCode1
DataMUX: Data Multiplexing for Neural NetworksCode1
KeepAugment: A Simple Information-Preserving Data Augmentation ApproachCode1
Better plain ViT baselines for ImageNet-1kCode1
BSRBF-KAN: A combination of B-splines and Radial Basis Functions in Kolmogorov-Arnold NetworksCode1
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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