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 22512260 of 10420 papers

TitleStatusHype
Deep Fried ConvnetsCode1
Explaining and Harnessing Adversarial ExamplesCode1
Unsupervised Domain Adaptation by BackpropagationCode1
Going Deeper with ConvolutionsCode1
Very Deep Convolutional Networks for Large-Scale Image RecognitionCode1
ImageNet Large Scale Visual Recognition ChallengeCode1
Recurrent Models of Visual AttentionCode1
OverFeat: Integrated Recognition, Localization and Detection using Convolutional NetworksCode1
Improving neural networks by preventing co-adaptation of feature detectorsCode1
Automatic Classification and Segmentation of Tunnel Cracks Based on Deep Learning and Visual Explanations0
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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
10RevCol-HTop 1 Accuracy90Unverified