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 44814490 of 10420 papers

TitleStatusHype
Deep Hierarchical Machine: a Flexible Divide-and-Conquer Architecture0
Deep Hashing: A Joint Approach for Image Signature Learning0
A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning0
CLIPPO: Image-and-Language Understanding from Pixels Only0
Image and Model Transformation with Secret Key for Vision Transformer0
A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision0
AMD: Automatic Multi-step Distillation of Large-scale Vision Models0
Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments0
Deep Generative Modeling for Protein Design0
Image Analytics for Legal Document Review: A Transfer Learning Approach0
Show:102550
← PrevPage 449 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
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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified