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 26012610 of 10420 papers

TitleStatusHype
A Physics-Inspired Optimizer: Velocity Regularized Adam0
Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification0
Adversarial Embedding: A robust and elusive Steganography and Watermarking technique0
Dynamic Conditional Networks for Few-Shot Learning0
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm0
Dynamic Differential-Privacy Preserving SGD0
Dynamic Fusion based Federated Learning for COVID-19 Detection0
Class Instance Balanced Learning for Long-Tailed Classification0
Class-Incremental Mixture of Gaussians for Deep Continual Learning0
A Perspective on Deep Vision Performance with Standard Image and Video Codecs0
Show:102550
← PrevPage 261 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